Crop mapping with satellite data
|
|
- Martha Hicks
- 5 years ago
- Views:
Transcription
1 Crop mapping with satellite data Dr. C.S. Murthy Head, Agricultural Sciences and Applications National Remote Sensing Centre, Hyderabad
2 Geospatial Technology Satellite remote sensing technology Mobile technologies Geospatial technology GIS, analytics etc. Unmanned Aerial Vehicle (UAV) based remote sensing Satellite data Satellites Sensor Spatial resolution Temporal resolution Swath Resourcesat AWiFS 56 m 5 days 750 km LISS III 23 m 26 days 140 km LISS IV 6 m 48 days 70 km LANDSAT 8 OLI 30 m 16 days 185 km Sentinel 2 MSI 10m 10 days 300 km Moderate resolution Easily accessible (either free or low cost) Suitable for crop insurance Coarse resolution satellite data Satellite data sets/derived indices, thematic layers, biophysical parameters
3 LISS-IV DATA SHOWING MULTIPLE CROPS Maize Banana Chillies Tobacco nrsa
4 HIGH RESOLUTION DATA SHOWING CROPS Palm Cashew Coconut Scane Rice nrsa
5 Satellite based crop mapping Hoshangabad district, MP, Wheat Oct Oct Nov Dec Jan 16 8 Feb 16
6 Mapping & inventory of crops One of the proven applications of RST Crop Classification Selection of suitable data based on crop calendars Supervised classification Ground truth points Signature generation and seprability assessment Classification Unsupervised classification Clustering Labelling of clusters with signature data Accuracy assessment Statistics extraction and reporting
7 CROP CALENDAR OF IMPORTANT KHARIF / RABI CROPS OF A. P. Optimum data acquisition For cotton crop PULSES SUNFLOWER GROUNDNUT PADDY TOBACCO GROUNDNUT SUNFLOWER CHILLIES JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY COTTON PADDY SUGARCANE nrsa
8 Mobile Apps for crop field data collection Observation Information Transmission Improved field data collection system Real-time field data collection, robust & versatile system, automation etc. Surveillance of events, automated alerts generation and dissemination Objective enumeration system Field Data Collection using Geo-I Localised crop damages Decision Action Value addition and information products from field data
9 Field data collection using Mobile App Bhuvan portal showing Mobile based field data
10 SHRI VIGHNAHAR SUGAR MILL BHIMASANKAR SUGAR MILL Sugarcane field GPS survey uploaded to BHUVAN along with mills location
11 Sugarcane field GPS survey uploaded to BHUVAN with attribute
12 Bandwise IRS images and FCC Green (2) Red (3) Near IR (4) Green MIR (5) FCC (4,3,2)
13 MULTISPECTRAL DIGITAL CLASSIFICATION RAW DATA CLASSIFIED DATA PADDY COTTON FOREST FALLOW WATER DN1 DN2 DN3 DN4 URBAN BANDS CLASSES
14 SIGNATURE STATISTICS COTTON Class Correlation Matrix: Class Covariance Matrix: RICE Class Correlation Matrix: Class Covariance Matrix:
15 GRN/NIR RED/NIR COTTON RICE OTHERS FOREST SCRUB FALLOW WATER MIR/NIR GRN/MIR
16 Raw data Classified data Cotton Rice Others Forest Scrub Fallow Water
17 On the ground Classification accuracy assessment Ground verification, sampling scheme Wheat Mustard Gram Maize total Error matrix On the map Wheat Mustard Gram Maize total Kappa coefficient of accuracy
18 Raw data Classified data CLASS PIXELS %IMAGE HA 1 cot cot rice rice others for for for scrub scrub fal fal fal water water Total
19 Rice map of Odisha state Winter
20 Cotton crop area 4.08 Lakh Ha Cotton crop area Lakh Ha
21 Groundnut Crop in Morbi District (kharif 2016) NDVI Taluk Groundnut area (ha) Halvad 39,437 Maliya Miyana 10,634 Morbi 29,750 Wankaner 28,308 Total 1,08, Progression of Groundnut NDVI over kharif 2016 season Groundnut Jun Jul Aug Sep FN1 Sep FN2 Oct FN1 Oct FN2 Nov FN1 Nov FN2
22 SPATIAL DISTRIBUTION OF RICE CROP KHARIF 2004 Raw data Raw data Classified data RICE nrsa
23 CROP INVENTORY USING SATELLITE DATA National level 180m 60m 24m 6m State level District level RICE Mandal level Rice Cotton Village level BANANA MAIZE TOBACCO CHILLIES IRS WIFS AWiFS IRS LISS-III LISS-IV data
24 IRS LISS-III DATA OF GUNTUR DISTRICT, A.P. COTTON PADDY nrsa
25 MULTI-DATE AWIFS DATA OF GUNTUR DISTRICT, A. P. SHOWING KHARIF RICE AND COTTON CROP Oct-16 Nov-05 Nov-28 Classified data Rice Cotton nrsa
26 CHANGES CROPPING PATTERN OF GUNTUR DISTRICT OF A. P Cotton Rice
27 IRS-1C WiFS DATA OF PART GODAVARI AND KRISHNA DELTA, A. P. RAW DATA Jan-25 Feb-18 CLASSIFIED DATA PULSES PADDY
28 CHANGES IN DISTRIBUTION OF KHARIF RICE OF ANDHRA PRADESH RAW DATA CLASSIFIED DATA RICE
29 MULTI-CROP INVENTORY USING IRS LISS-III DATA TULLUR MANDAL, GUNTUR DISTRICT, A. P. RAW DATA CLASSIFIED DATA Banana Maize Tobacco Pulses Chillies Cotton
30 LISS-IV DATA WITH CADASTRAL OVERLAY SHOWING DISTRIBUTION OF SUGARCANE CROP Chinaogirala village Vuyyuru mandal Krishna district, A. P. Raw data Classified data Sugarcane 111 ha nrsa
31 IKONOS Multispectral data of Nanjur tank command 09 th Aug th Dec 2003
32 POTENTIAL OF SAR DATA FOR AGRICULTURE Non-availability of optical data during monsoon season RADAR can penetrate through cloud and rain Active sensor All weather and day / night operation capability Crop discrimination Soil moisture estimation Retrieval of crop canopy parameters nrsa
33 UTILIZATION OF RADARSAT DATA FOR KHARIF RICE RADARSAT ScanSar data is being utilized for kharif rice acreage estimation due to non-availability of optical data during monsoon season 3 date SAR data of July, August & September data utilized for Acreage estimation of rice Acquisition dates D1 D2 D3 JUNE JULY AUG SEP OCT NOV Puddling Transplantation Crop Establishment Maturity nrsa
34 RADARSAT DATA SHOWING RICE CROP AT DIFFERENT PLANTING DATES Jul 27, 2005 Aug 20, 2005 Sep13, 2005 Three Date Composite FCC EARLY RICE MID RICE LATE RICE nrsa
35 RADARSAT DATA OF WEST GODAVARI DISTRICT, A. P nrsa
36 DISTRIBUTION OF KHARIF RICE USING THREE DATE RADARSAT DATA WEST GODAVARI DISTRICT, A. P. KHARIF RICE nrsa
37 Forecasting Agricultural Output using Space, Agrometeorology and Land based Observations (FASAL) Land Observations Cropped area Crop condition Crop acreage Crop yield MULTIPLE IN-SEASON FORECASTS Pre- Season Early- Season Mid- Season State Pre- Harvest State Pre- Harvest District Revised Incorporating Damage
38 STATE / NATIONAL LEVEL INVENTORY OF MAJOR CROPS National / State level estimations Wheat (AWiFS) Rabi cropped area (RCA) by end of January First estimate of wheat acreage by end of February Final wheat acreage estimate by end of March Kharif Rice (Radarsat) First estimate (F1) of rice acreages by Sept 30 Second estimate (F2) by Oct 31 Final rice acreage estimate by Jan 31 Winter Potato (AWiFS) o Haryana and Punjab by Dec 15 o Uttar Pradesh by Dec 31 o Bihar and West Bengal by Jan 15 Kharif Rice Wheat Rice and Wheat Rice and Potato Rice, Wheat and Potato 1. National Wheat Nov, 07 Dec, 07 Jan, National kharif Rice Jul 13 (Date-1) Aug 06 (Date-2) 2 date FCC RCA (32.0Mha) Feb-08 wheat-1 (26.6Mha) F-1 (33.7Mha) Aug 30 (Date-3) 3 date FCC Mar-08 NDVI profile Wheat-2 (27.25Mha) Wheat, Grams, Mustard, Potato, Backscatter Profile F-2 (35.8 Mha) Multi-date Resourcesat-1 AWiFS data Early Mid Late Three date Radarsat SN2 data nrsa
39 nrsa
FASAL: The Operational Programme for Crop Assessment in India
FASAL: The Operational Programme for Crop Assessment in India 23 Jul, 17 Aug, 11 Sep 2015 13 Jul, 7 Aug, 1 Sep 2014 Neetu Mahalanobis National Crop Forecast Centre Ministry of Agriculture & Farmers Welfare,
More informationHorticultural Crop Assessment using Satellite Data (Coordinated Horticulture Assessment and Management using geo-informatics: CHAMAN)
Horticultural Crop Assessment using Satellite Data (Coordinated Horticulture Assessment and Management using geo-informatics: CHAMAN) S. Mamatha 1, B. K. Bhattacharya 2, Uday Raj 3, H P Sharma 4, B K Handique
More informationUse of Remote Sensing Technology in Crop Monitoring and Assessment of Impact of Natural Disaster
Use of Remote Sensing Technology in Crop Monitoring and Assessment of Impact of Natural Disaster Shibendu S. Ray Mahalanobis National Crop Forecast Centre Department of Agriculture & Cooperation Government
More informationRemote Sensing for Agricultural Applications
Remote Sensing for Agricultural Applications Shibendu S. Ray Mahalanobis National Crop Forecast Centre Department of Agriculture, Cooperation & Farmers Welfare, New Delhi shibendu.ncfc@gov.in GeoSmart
More informationCrop Assessment using Space, Agro-Meteorology & Land based observations : Indian Experience
Crop Assessment using Space, Agro-Meteorology & Land based observations : Indian Experience Shibendu S. Ray Mahalanobis National Crop Forecast Centre Department of Agriculture, Cooperation & Farmers Welfare,
More informationAPPLICATION OF GEO SPATIAL TECHNOLOGY IN AGRICULTURE
APPLICATION OF GEO SPATIAL TECHNOLOGY IN AGRICULTURE Dr. S.C. Moharana Senior Scientist ORSAC, Bhubaneswar Training Programme on Applications of Geo-Spatial Technology Oct 14, 2017 FASAL Programme Implemented
More informationSpace Technology for Decision Support in Agriculture
Space Technology for Decision Support in Agriculture Shibendu Shankar Ray Department of Agriculture, Cooperation & Farmers Welfare New Delhi 110 012, India www.ncfc.gov.in, shibendu.ncfc@nic.in Indian
More informationAgricultural Crop Monitoring Programme in India
Agricultural Crop Monitoring Programme in India Dr. Jai Singh Parihar Dy. Director Remote Sensing Applications Area (RESA) Space Applications Centre (ISRO) Ahmedabad 380 015 India jsparihar@sac.isro.gov.in
More informationCrop Mapping in the Hindu Kush Himalaya Region
Crop Mapping in the Hindu Kush Himalaya Region Mir Matin Faisal Mueen Qamar Haqiq Rahmani Krishna Vadrevu Lee Ellenburg NASA ICIMOD Varun Tiwari Nabin Kumar Yadav Begum Rabeya Rushi MAIL, GIRoA Noorullah
More informationMapping major crops using Sentinel Images for Nepal
Mapping major crops using Sentinel Images for Nepal (Strengthening Agriculture Advisory by Establishing Agriculture Information Dashboard) SARI workshop, Delhi, May 2-4, 2017 Nabin Kumar Yadav, Faisal
More informationExpert Meeting on Crop Monitoring for Improved Food Security, 17 February 2014, Vientiane, Lao PDR. By: Scientific Context
Satellite Based Crop Monitoring & Estimation System for Food Security Application in Bangladesh Expert Meeting on Crop Monitoring for Improved Food Security, 17 February 2014, Vientiane, Lao PDR By: Bangladesh
More informationCropland Mapping with Satellite Data
Cropland Mapping with Satellite Data Rick Mueller Head/Spatial Analysis Research USDA/National Agricultural Statistics Service Border-Area Water Management Remote Sensing Workshop Agenda Cropland Data
More informationMODULE 8 LECTURE NOTES 5 REMOTE SENSING APPLICATIONS IN DROUGHT ASSESSMENT
MODULE 8 LECTURE NOTES 5 REMOTE SENSING APPLICATIONS IN DROUGHT ASSESSMENT 1. Introduction Drought is a phenomenon of long-term moisture deficiency. It may be meteorological, agricultural or hydrologic
More informationAbstract. Introduction. Study area
PROGRESSION OF RICE TRANSPLANTATIONS AND ITS IMPACT ON PRODUCTION FROM MULTI- TEMPORAL AWIFS DATA Abstract The information on the progression of rice transplantations is of paramount importance for optimum
More informationAnalyzing water resources in a monsoon-driven environment an example from the Indian Western Ghats
Analyzing water resources in a monsoon-driven environment an example from the Indian Western Ghats 1, Shamita Kumar 2, Peter Fiener 1 and Karl Schneider 1 1,,, Germany 2 Institute of Environment Education
More informationRemote Sensing Uses in Agriculture at NASS
Remote Sensing Uses in Agriculture at NASS United States Department of Agriculture (USDA) National Agriculture Statistics Service (NASS) Research and Development Division Geospatial Information Branch
More informationGovernment of India s Perspective and Initiatives on Integration of Future Smart Food in Rice-Fallows
Government of India s Perspective and Initiatives on Integration of Future Smart Food in Rice-Fallows Dr. B. Rajender, Joint Secretary (Crops & Oilseeds) Department of Agriculture, Cooperation & Farmers
More informationClimate variability 11 year running mean
Application of remote sensing technologies for mapping of cropping pattern and area estimations for major summer and winter crops across spatial and temporal scales: Lessons learnt in Australia A Potgieter
More informationApproach to Maize and Wheat Crop Forecast
Approach to Maize and Wheat Crop Forecast Maize and wheat are the main staple food in Kenya accounting for over 80 percent of total cereals used at a household level Rice is the third most consumed cereal
More informationOperational Mapping and Monitoring of Agricultural Crops in India. Mahalanobis National Crop Forecast Centre
Operational Mapping and Monitoring of Agricultural Crops in India MNCFC: An Introduction was established under Ministry of Agriculture & Farmers Welfare with technical and human resources support from
More informationMapping smallholder agriculture using simulated Sentinel-2 data; optimization of a Random Forest-based approach and evaluation on Madagascar site
Mapping smallholder agriculture using simulated Sentinel-2 data; optimization of a Random Forest-based approach and evaluation on Madagascar site Lebourgeois, V., Dupuy, S., Vintrou, E., Ameline, M., Butler,
More informationRemote Sensing for Monitoring USA Crop Production: What is the State of the Technology
Remote Sensing for Monitoring USA Crop Production: What is the State of the Technology Monitoring Food Security Threats from Space - A CELC Seminar Centurion, SA 21 April 2016 David M. Johnson Geographer
More informationMonitoring croplands using Remote sensing
Monitoring croplands using Remote sensing Murali Krishna Gumma and team ICRISAT Dryland agriculture, where ICRISAT operating Geospatial World Forum: Knowledge based agriculture: the linkages with sustainability,
More informationEARLY SEASON CROP FORECASTING WITH FASAL ECONOMETRIC MODEL: ITS USEFULNESS BEYOND FORECASTING
EARLY SEASON CROP FORECASTING WITH FASAL ECONOMETRIC MODEL: ITS USEFULNESS BEYOND FORECASTING Presented at International Seminar on Approaches and Methodologies for Crop Monitoring and Production Forecasting
More informationISPRS Archives XXXVIII-8/W3 Workshop Proceedings: Impact of Climate Change on Agriculture
SPATIAL DATABASE GENERATION OF THE RICE-CROPPING PATTERN OF INDIA USING SATELLITE REMOTE SENSING DATA K.R. Manjunath and Sushma Panigrahy Space Applications Centre, ISRO, Ahmedabad 380015, Gujarat, India
More informationFY24 28 JAXA. Big BCG
RESTEC 26 1 31 2 FY24 28 JAXA 37 3 Big BCG 4 ( + + ) National Spatial Data Infrastructure Theme Maps (1/5,000, 1/10,000,1/25,000, 1/50,000) ( ) GIS ADB GSMaP Input Rain gage Improved Flood prediction model
More informationExperts estimates that demand for food crops will
International Journal of Agricultural Engineering, Vol. 3 No. 2 (October, 2010) : 360-364 A Case Study: Estimation of crop and irrigation water requirement by remote sensing and CIS: Kaithal District,
More informationDrought monitoring experiences of India
REGIONAL WORKSHOP ON UNDERSTANDING THE OPERATIONAL ASPECTS OF THE DROUGHT OBSERVATION SYSTEM IN MONGOLIA, 17 Sep 2018 Drought monitoring experiences of India Dr. C.S. Murthy Head, Agricultural Sciences
More informationEVALUATING THE ACCURACY OF 2005 MULTITEMPORAL TM AND AWiFS IMAGERY FOR CROPLAND CLASSIFICATION OF NEBRASKA INTRODUCTION
EVALUATING THE ACCURACY OF 2005 MULTITEMPORAL TM AND AWiFS IMAGERY FOR CROPLAND CLASSIFICATION OF NEBRASKA Robert Seffrin, Statistician US Department of Agriculture National Agricultural Statistics Service
More informationTo provide timely, accurate, and useful statistics in service to U.S. agriculture
NASS MISSION: To provide timely, accurate, and useful statistics in service to U.S. agriculture What does NASS do? Administer USDA s Statistical Estimating Program Conduct the 5-year Census of Agriculture
More informationSTUDY OF CROPPING SYSTEMS DYNAMICS IN THE LOWER GANGETIC PLAINS OF INDIA USING GEOSPATIAL TECHNOLOGY
STUDY OF CROPPING SYSTEMS DYNAMICS IN THE LOWER GANGETIC PLAINS OF INDIA USING GEOSPATIAL TECHNOLOGY K.R. Manjunath*, Nitai Kundu, S.S. Ray 1, Sushma Panigrahy, and J.S. Parihar Earth, Ocean, Atmosphere,
More informationFOREST COVER MAPPING AND GROWING STOCK ESTIMATION OF INDIA S FORESTS
FOREST COVER MAPPING AND GROWING STOCK ESTIMATION OF INDIA S FORESTS GOFC-GOLD Workshop On Reducing Emissions from Deforestations 17-19 April 2007 in Santa Cruz, Bolivia Devendra PANDEY Forest Survey of
More informationCROPPING SYSTEM ANALYSIS USING REMOTE SENSING AND GIS: A BLOCK LEVEL STUDY OF KURUKSHETRA DISTRICT
CROPPING SYSTEM ANALYSIS USING REMOTE SENSING AND GIS: A BLOCK LEVEL STUDY OF KURUKSHETRA DISTRICT M. P. Sharma 1, Manoj Yadav 1, R. Prawasi 1, Pavan Kumar 2 and R. S. Hooda 1 1 Haryana Space Applications
More informationApplication of Remote Sensing derived land surface information to enhance implementation of management practices in SWAT Presented by Jeba Princy R
Application of Remote Sensing derived land surface information to enhance implementation of management practices in SWAT Presented by Jeba Princy R Balaji Narashimhan V.M.Bindhu, S.M. Kirthiga Annie Issac
More informationWelcome! Rallis India Limited
Welcome! Rallis India Limited Q3-12 Performance V Shankar 23 rd January 2012 Rallis Consolidated 3 rd Quarter Crs Q3 2010-11 Q3-12 Net Sales 268.1 317.9 PBT 48.0 12.4 Add Depreciation 4.4 7.2 Add Interest
More informationAgriculture & Farmers welfare in. Andhra Pradesh
Agriculture & Farmers welfare in Andhra Pradesh - Technology the way forward Dr. D. Dakshinamurty, Director Directorate of Economics and Statistics, Andhra Pradesh Prologue The State of A.P, basically
More informationGEOGLAM : Global Agricultural Monitoring
GEOGLAM : Global Agricultural Monitoring Jai Singh Parihar on behalf of GEOGLAM Task Team (Chris Justice, Shinichi Sobue, Olivier Leo, Wu Bingfang, Derrick Williams, Inbal Becker-Reshef, Ian Jarvis, Terry
More informationLONG TERM CHANGES IN CROPPING PATTERN OF BATHINDA DISTRICT, PUNJAB - A REMOTE SENSING APPROACH
LONG TERM CHANGES IN CROPPING PATTERN OF BATHINDA DISTRICT, PUNJAB - A REMOTE SENSING APPROACH Anil Sood a*, S S Ray b, B U Cho udhury a, P K Sharma a and Sushma Panigrahy b a Punjab Remote Sensing Centre,
More informationEmerging Applications of RS & GIS in Agriculture
Emerging Applications of RS & GIS in Agriculture Crop intensification (National Food Security Mission) Horticulture (National Horticulture Mission) High value crops (Commerce) Fibre Crop Information System
More informationUTILIZING REMOTE SENSING TO MANAGE IRRIGATION WATER FOR DIFFERENT CROPS
Tenth International Water Technology Conference, IWTC10 2006, Alexandria, Egypt 759 UTILIZING REMOTE SENSING TO MANAGE IRRIGATION WATER FOR DIFFERENT CROPS Nagy Yakoub Associate Professor, National Water
More informationRemote sensing applications in natural resources mapping and management An Indian Context
Remote sensing applications in natural resources mapping and management An Indian Context International Workshop on Operational Mapping/Monitoring of Agricultural Crops in South/Southeast Asian Countries
More informationCollaboration of Space Research Institute NASU-SSAU with EC JRC on satellite monitoring for food security: background and prospects
Collaboration of Space Research Institute NASU-SSAU with EC JRC on satellite monitoring for food security: background and prospects Prof. Nataliia Kussul 1 Space Research Institute NASU-SSAU, Ukraine Context
More informationDISTRIBUTION OF CROPS AND THEIR REQUIREMENT
DISTRIBUTION OF CROPS AND THEIR REQUIREMENT Cropping Seasons in India Agriculture in India also follows three distinct cropping seasons i.e. rabi, kharif and zaid. Rabi crops are sown from October to December
More informationProduct Delivery Report for K&C Phase 3. Francesco Holecz sarmap
Product Delivery Report for K&C Phase 3 Francesco Holecz sarmap Science Team meeting #21 Phase 3 Result Presentations Kyoto Research Park, Kyoto, Japan, December 3-4, 2014 Project objectives The objective
More informationINVENTORY OF SATHANUR COMMAND AREA FOR MANAGEMENT OF IRRIGATION SYSTEM USING REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEM
JOURNAL OF MODERN BIOTECHNOLOGY, VOL. 1, NO. 1, pp 31 36, September 2012 Copyright 2012, by Madras Institute of Biotechnology. All Right Reserved. www.thebiotech.org Research Article INVENTORY OF SATHANUR
More informationRemote Sensing of Land & Vegetation. C S Murthy
Remote Sensing of Land & Vegetation C S Murthy Remote Sensing current status New era of RS in 21 st Century Increased utilisation of data Quantitative algorithms/improved retrieval methods Better calibrations
More informationMonitoring Cropping Pattern Changes Using Multi-temporal WiFS Data
Monitoring Cropping Pattern Changes Using Multi-temporal WiFS Data D. R. Rajak, M.P. Oza, N. Bhagia, and V. K. Dadhwal Crop Inventory and Modelling Division Agricultural Resources Group (RESA) Space Applications
More informationMAPPING MONSOON ON SUGARCANE PLANTING (SEASON )
MAPPING MONSOON ON SUGARCANE PLANTING (SEASON 2014-15) Sugarcane planting for the sugar season of 2014-15, is almost completed across the country. Interestingly the total sugarcane acreage in 2014-15 season
More informationImproving Farm Practices with Automation
Improving Farm Practices with Automation Geospatial Applications in Mitr Phol Sugar, Thailand Saravanan Rethinam Geospatial Agriculture Specialist saravananr@mitrphol.com THAILAND Presented at GEO SMART
More informationRice crop monitoring using EO data in the Mekong Delta, Vietnam
The 10th GEOSS Asia-Pacific Symposium WG5: Agriculture and Food Security Hanoi, 18-20 th, Sep. 2017 Rice crop monitoring using EO data in the Mekong Delta, Vietnam Lam Dao Nguyen, Hoang Phi Phung, Dang
More informationFive-fold increase in food grains production since Moved away from food dependency to a net food exporter Largest producer of milk, annual
May 2, 2017 Outline Agriculture in India- An overview Significance of Agricultural Statistics Release of national level estimates Validation of Data Collection of primary data by States Othersources of
More informationAntsirabe (Madagascar)
Antsirabe (Madagascar) JECAM/GEOGLAM Science Meeting Brussels, Belgium 16-17 November, 2015 V.Lebourgeois, E.Vintrou, S.Dupuy, A.Bégué, J.Dusserre, M.Ameline, B.Bellon De La Cruz F.Ramahandry, C.Nativel
More informationPotato Short Note. 31 Jan Introduction. Seasonality
31 Jan 2008 Potato Short Note Introduction Potato is the world's fourth important food crop after wheat, rice and maize because of its higher yield potential along with high nutritive value. With an annual
More informationA new method to estimate rice crop production and outlook using Earth Observation satellite data
A new method to estimate rice crop production and outlook using Earth Observation satellite data Toshio Okumura, Shin-ich Sobue, Nobuhiro Tomiyama RESTEC Kei Ohyoshi JAXA 17 Feb. 2014 Don Chan Palace,
More informationCropping Intensity Xiangming Xiao
Cropping Intensity Xiangming Xiao Department of Botany and Microbiology, College of Arts and Sciences Center for Spatial Analysis, College of Atmospheric & Geographic Sciences University of Oklahoma, Norman,
More informationRice crop monitoring in Vietnam using radar remote sensing data
Earth Observation Technologies for Crop Monitoring: A Workshop to Promote Collaborations among GEOGLAM/JECAM/Asia-RiCE 2018 17-20 September 2018 Taichung, Taiwan Rice crop monitoring in Vietnam using radar
More informationWelcome! Quarter Results. V Shankar 18 th January, Copyright Rallis India Limited. All rights reserved
Welcome! Quarter 3 2010-11 Results V Shankar 18 th January, 2011 Financial Performance : Key Highlights Q3: Sept Dec, 2010 Cr Q 3 09-10 Q 3 10-11 Growth % Over LY Gross Sales 219 290 32% Profit before
More informationUse of Space-based Systems for Water Resources Management In India
49 th Session of UN-COPUOS (7-16 June 2006) Agenda Item 12: Space and Water Use of Space-based Systems for Water Resources Management In India Presentation by Dr. K. Radhakrishnan Indian Delegation . we
More informationthe wheat fields is small, and as for fields of puddling and leveling in winter and other fields in similar, the difference is small. It is conclude t
OBSERVATION OF JAPANESE PADDY RICE FIELDS USING MULTI TEMPORAL AND POLARIMETRIC PALSAR DATA PI No.365 Naoki ISHITSUKA 1, Genya SAITO 2, Fan YANG 3, Chinatsu YONEZAWA 4 and Shigeo OGAWA 5 1 National Institute
More informationIndia. India Grain Voluntary Update - October 2017
THIS REPORT CONTAINS ASSESSMENTS OF COMMODITY AND TRADE ISSUES MADE BY USDA STAFF AND NOT NECESSARILY STATEMENTS OF OFFICIAL U.S. GOVERNMENT POLICY Voluntary - Public Date: 10/3/2017 GAIN Report Number:
More informationNguyen Lam-Dao Thuy Le-Toan Armando Apan Juliane Huth Phung Hoang-Phi. VAST, Vietnam CESBIO, France USQ, Australia DLR, Germany VAST, Vietnam
The 33rd Asian Conference on Remote Sensing Pattaya, November 26-30, 2012 RICE MONITORING IN THE MEKONG DELTA, VIETNAM Nguyen Lam-Dao Thuy Le-Toan Armando Apan Juliane Huth Phung Hoang-Phi VAST, Vietnam
More informationStudy of Cropping Pattern, Crop Ranking and Crop Combination in Somb River Basin at Lower Shiwalik Hills
Cloud Publications International Journal of Advanced Remote Sensing and GIS 2017, Volume 6, Issue 1, pp. 2297-2305 ISSN 2320 0243, Crossref: 10.23953/cloud.ijarsg.295 Research Article Study of ping Pattern,
More informationSentinels for Agriculture Global, Operational, Open, Reliable
Sentinels for Agriculture Global, Operational, Open, Reliable Benjamin Koetz European Space Agency Earth Observation Directorate ESA UNCLASSIFIED - For Official Use Sentinel-2B Launch Tonight, 7 th of
More informationMid-level Evaluation of Climate Services: Seasonal Forecasts in Kazakhstan
Mid-level Evaluation of Climate Services: Seasonal Forecasts in Kazakhstan Glen Anderson, Chief of Party Climate Change Resilient Development Project Montevideo, Uruguay December 11, 2014 What I will cover
More informationCrop Monitoring for Food Security from Space
San Diego, 18-22 February 2010 AAAS Annual Meeting 1 Crop Monitoring for Food Security from Space Felix Rembold Joint Research Centre (JRC) The European Commission s Research-Based Policy Support Organisation
More informationSatellite Remote Sensing for Irrigation Management
Satellite Remote Sensing for Irrigation Management D. Nagesh Kumar Civil Engineering Department Indian Institute of Science, Bangalore - 560 012 1. INTRODUCTION Irrigation management deals with efficient
More informationCLIMATE CHANGE ADAPTIVE CROP PRODUCTION STRATEGIES IN HIGH ALTITUDE AND TRIBAL AREAS OF VISAKHAPATNAM DISTRICT, A.P
CLIMATE CHANGE ADAPTIVE CROP PRODUCTION STRATEGIES IN HIGH ALTITUDE AND TRIBAL AREAS OF VISAKHAPATNAM DISTRICT, A.P K. SASIKALA * and P. ASHOK Regional Agricultural Research Station, Chintapalli, Visakhapatnam
More informationRapid Land Use and Land Cover Database Development
Rapid Land Use and Land Cover Database Development Utility of the Land Use and Land Cover Database Socio-Economic Climate Change Water Quantity Water Quality 2 Overview of the Mapping Approach Goal: Develop
More informationCHAPTER 2 FOREST COVER
CHAPTER 2 FOREST COVER 2.1 Introduction Forest cover, as explained in the previous chapter, includes all lands more than 1 ha area having tree canopy density of 1 percent and above. The basic data for
More informationEARLY SEASON FORECASTING OF CROPS BY FASAL ECONOMETRIC MODEL
EARLY SEASON FORECASTING OF CROPS BY FASAL ECONOMETRIC MODEL Presented at International Workshop on Operational Mapping/Monitoring of Agricultural Crops in South/Southeast Asian Countries Research Needs
More informationRapid Assessment of damage to ecological resources due to Tsunami
Rapid Assessment of damage to ecological resources due to Tsunami Background: A tsunamii (Japanese word literally meaning harbour ware which is triggered by undersea earthquake, landslide or volcanic eruption)
More informationGEOGLAM Asia-RiCE Team Activities Update and Accomplishments
GEOGLAM Asia-RiCE Team Activities Update and Accomplishments Shin-ichi Sobue On behalf of the GEOGLAM Asia-RiCE team 2015/11/16 Regional Cooperation for Rice Crop Monitoring Using Space Technology in Asia
More informationForest Biomass Change Detection Using Lidar in the Pacific Northwest. Sabrina B. Turner Master of GIS Capstone Proposal May 10, 2016
Forest Biomass Change Detection Using Lidar in the Pacific Northwest Sabrina B. Turner Master of GIS Capstone Proposal May 10, 2016 Outline Relevance of accurate biomass measurements Previous Studies Project
More informationRemote Sensing Applications in Agriculture. Component-I(A) - Personal Details. Component-I (B) - Description of Module. Role Name Affiliation
Component-I(A) - Personal Details Role Name Affiliation Principal Investigator Prof.MasoodAhsanSiddiqui Department of Geography, JamiaMilliaIslamia, New Delhi Paper Coordinator, if any Dr. M P Punia Head,
More informationDSS for monitoring agro-meteorological and crop conditions in India using remote sensing for agro-advisory services. Montpellier March 16-18, 2015
DSS for monitoring agro-meteorological and crop conditions in India using remote sensing for agro-advisory services Vinay Sehgal, Malti Singh, Rakeshwar Verma, Ananta Vashisth, Himanshu Pathak ICAR - Indian
More informationPOLARIMETRIC SYNTHETIC APERTURE RADAR DATA FOR CROP COVER CLASSIFICATION. Ramana K V., Srikanth.P, Deepika.U and Sesha Sai M.V.R.
POLARIMETRIC SYNTHETIC APERTURE RADAR DATA FOR CROP COVER CLASSIFICATION Ramana K V., Srikanth.P, Deepika.U and Sesha Sai M.V.R. ASAG, RSAA, National Remote Sensing Centre, Balanagar, Hyderabad 500037.
More informationCrop Information Portal Agriculture Information System Building Provincial Capacity for Crop Forecasting and Estimation
International Conference on Innovative Agricultural Financing April 28-29, 2015 at Hotel Serena Islamabad Day 1 Tuesday 28 April 2015 Session B: Digital platforms in building data-ecosystem for agri-finance
More informationGROUNDNUT PRICES LIKELY TO BE AROUND Rs. 4800/q AT HARVEST
GROUNDNUT PRICES LIKELY TO BE AROUND Rs. 4800/q AT HARVEST India is the second largest producer of groundnut in the world. On the global front, China leads in production, making up some 42 per cent of
More informationQuantification of agricultural landuse during Kharif and Rabi season of Datia district, Madhya Pradesh, India
47 Quantification of agricultural landuse during Kharif and Rabi season of Datia district, Madhya Pradesh, India Pushpendra Singh Rajpoot 1, Ajay Kumar 1 and Sandeep Goyal 2 1 Department of Physical Sciences,
More informationDigital Classification of Land Use/ Land Cover by Using Remote Sensing Techniques
Digital Classification of Land Use/ Land Cover by Using Remote Sensing Techniques Dr. S.S. Manugula Professor, Department of Civil Engineering, Guru Nanak Institutions, Hyderabad, Telangana, India. M Sagar
More informationCHAPTER - 5 EFFECT OF CROPPING AREA ON THE INFLOWS OF OSMANSAGAR AND HIMAYATHSAGAR RESERVOIRS
117 CHAPTER - 5 EFFECT OF CROPPING AREA ON THE INFLOWS OF OSMANSAGAR AND HIMAYATHSAGAR RESERVOIRS 5.1 PREAMBLE Agriculture is the dominant economic sector in many South Asian countries including India.
More informationDMC 22m Sensors for Supertemporal Land Cover Monitoring. Gary Holmes DMC International Imaging Ltd June 2014
DMC 22m Sensors for Supertemporal Land Cover Monitoring Gary Holmes DMC International Imaging Ltd June 2014 DMC 2 nd Generation Satellites UK-DMC2 and Deimos-1 launched 29 th July 2009 650km swath width
More informationOpportunities and challenges for monitoring tropical deforestation and forest degradation in dynamic landscapes using Sentinel-2!
Sentinel-2 For Science Workshop 20-22 May, 2014 ESA-ESRIN Frascati Opportunities and challenges for monitoring tropical deforestation and forest degradation in dynamic landscapes using Sentinel-2 Dirk
More informationCLICK HERE TO KNOW MORE
CLICK HERE TO KNOW MORE Digital Agriculture for Food and Soil Security Suhas P Wani Director, Regional Program Asia & Director, ICRISAT Development Center A Global R&D Organization for Semi-Arid Agriculture
More informationGoogle Earth Engine Image Pre-processing Tool: Examples
Google Earth Engine Image Pre-processing Tool: Kaspar Hurni, Andreas Heinimann, and Lukas Würsch Centre for Development and Environment (CDE) University of Bern 2017 Example 1: Extraction of an individual
More informationSPACE MONITORING of SPRING CROPS in KAZAKHSTAN
SPACE MONITORING of SPRING CROPS in KAZAKHSTAN N. Muratova, U. Sultangazin, A. Terekhov Space Research Institute, Shevchenko str., 15, Almaty, 050010, Kazakhstan, E-mail: nmuratova@mail.ru Abstract The
More information1 What are three cropping seasons of India? Explain any one in brief. 2 Discuss three main impacts of globalization on Indian agriculture.
1 What are three cropping seasons of India? Explain any one in brief. 2 Discuss three main impacts of globalization on Indian agriculture. 3.Distinguish between rabi and kharif season? 4. What is Horticulture?
More information2-4 April 2019 Taets Art and Event Park, Amsterdam CLICK TO KNOW MORE
Co-Host Host 2-4 April 2019 Taets Art and Event Park, Amsterdam CLICK TO KNOW MORE Government of Andhra Pradesh Groundwater and Water Audit Department MINISTRY OF WATER RESOURCES Real Time Water Resources
More informationNeed Additional Information? LEGAL DISCLAIMER ACKNOWLEDGEMENT:
LEGAL DISCLAIMER This work was implemented as part of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) hosted by BISA-CIMMYT in South Asia. The views expressed in this
More informationAgricultural Drought Monitoring in India
Agricultural Drought Monitoring in India with special emphasis on NADAMS Government of India Ministry of Agriculture & Farmers Welfare Department of Agriculture, Cooperation & Farmers Welfare Mahalanobis
More informationDecadal Shift in Cropping Pattern in Karnataka Research Report July 2016
Karnataka Agriculture Price Commission Decadal Shift in Cropping Pattern in Karnataka Research Report July 2016 This is a comprehensive analysis of the shift in the area of agriculture & horticulture crops
More informationI. SOIL MOISTURE, CROP AND VEGETATION STUDY USING AIRSAR DATA
I. SOIL MOISTURE, CROP AND VEGETATION STUDY USING AIRSAR DATA Dr. Flaviana Hilario (1) and Dr. Juliet Mangera (2) (1) PAGASA (Weather Bureau), ATB 1424 Quezon Ave, Quezon City, Philippines, 1100, Philippines
More informationJoint Experiment for Crop Assessment and Monitoring GEOGLAM Implementation Meeting Washington D.C. February 21, 2013
Joint Experiment for Crop Assessment and Monitoring GEOGLAM Implementation Meeting Washington D.C. February 21, 2013 Ian Jarvis JECAM Sub-Task Lead Earth Observation Service, Agriculture and Agri-Food
More informationDetection of Deforestation in China and South East Asia using GF-1 time-series Data
Detection of Deforestation in China and South East Asia using GF-1 time-series Data Project No.10549 Dr. Tan Bingxiang, Institute of Forest Resources Information Technique, CAF, Beijing, China Mike Wooding,
More informationGlobal Strategy IMPROVING AGRICULTURAL AND RURAL STATISTICS IN ASIA PACIFIC
Global Strategy IMPROVING AGRICULTURAL AND RURAL STATISTICS IN ASIA PACIFIC Improving Administrative Reporting Systems in Asia Pacific Region Global Strategy Training and Outreach Workshop on Agricultural
More informationOctober 11, Impact of India s demonetization on agricultural markets
Impact of India s demonetization on agricultural markets Nidhi Aggarwal Sudha Narayanan October 11, 2017 When 86% of the money was deemed invalid in one stroke! Notes in circulation (in Rs. Bn) 10000 14000
More informationCOMPARATIVE STUDY OF NDVI AND SAVI VEGETATION INDICES IN ANANTAPUR DISTRICT SEMI-ARID AREAS
International Journal of Civil Engineering and Technology (IJCIET) Volume 8, Issue 4, April 2017, pp. 559 566 Article ID: IJCIET_08_04_063 Available online at http://www.iaeme.com/ijciet/issues.asp?jtype=ijciet&vtype=8&itype=4
More informationMapping Coastal Great Lakes Wetlands and Adjacent Land use Through Hybrid Optical-Infrared and Radar Image Classification Techniques
Mapping Coastal Great Lakes Wetlands and Adjacent Land use Through Hybrid Optical-Infrared and Radar Image Classification Techniques Laura L. Bourgeau-Chavez, Kirk Scarbrough, Mary Ellen Miller, Zach Laubach,
More informationA Simple Irrigation Scheduling Approach for Pecan Irrigation in the Lower Rio Grande Valley
ABSTRACT A Simple Irrigation Scheduling Approach for Pecan Irrigation in the Lower Rio Grande Valley Zhorab Samani, Salim Bawazir, Max Bleiweiss, Rhonda Skaggs, John Longworth, Aldo Piñon,Vien Tran Submitted
More informationReal-time crop mask production using high-spatial-temporal resolution image times series
Real-time crop mask production using high-spatial-temporal resolution image times series S.Valero and CESBIO TEAM 1 1 Centre d Etudes Spatiales de la BIOsphre, CESBIO, Toulouse, France Table of Contents
More information