Crop mapping with satellite data Dr. C.S. Murthy Head, Agricultural Sciences and Applications National Remote Sensing Centre, Hyderabad murthy_cs@nrsc.gov.in, csmurthy09@gmail.com
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
LISS-IV DATA SHOWING MULTIPLE CROPS Maize Banana Chillies Tobacco nrsa
HIGH RESOLUTION DATA SHOWING CROPS Palm Cashew Coconut Scane Rice nrsa
Satellite based crop mapping Hoshangabad district, MP, Wheat 2015-16 3 Oct 15 19 Oct 15 20 Nov 15 22 Dec 15 23 Jan 16 8 Feb 16
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
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
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
Field data collection using Mobile App Bhuvan portal showing Mobile based field data
SHRI VIGHNAHAR SUGAR MILL BHIMASANKAR SUGAR MILL Sugarcane field GPS survey uploaded to BHUVAN along with mills location
Sugarcane field GPS survey uploaded to BHUVAN with attribute
Bandwise IRS images and FCC Green (2) Red (3) Near IR (4) Green MIR (5) FCC (4,3,2)
MULTISPECTRAL DIGITAL CLASSIFICATION RAW DATA CLASSIFIED DATA PADDY COTTON FOREST FALLOW WATER DN1 DN2 DN3 DN4 URBAN BANDS CLASSES
SIGNATURE STATISTICS COTTON 1 47.375000 2.357075 2 24.779762 2.078592 3 230.193451 3.912827 4 136.062500 2.605904 Class Correlation Matrix: 1 2 3 4 +------------------------------------ 1 1.00000 2 0.18634 1.00000 3 0.31080-0.67838 1.00000 4 0.48557-0.21340 0.65088 1.00000 Class Covariance Matrix: 1 2 3 4 +------------------------------------ 1 5.556 2 0.913 4.321 3 10.192-19.618 193.567 4 2.983-1.156 23.598 6.791 RICE 1 21.001934 2.792986 2 13.131528 2.737043 3 157.334625 3.241498 4 72.195358 3.051863 Class Correlation Matrix: 1 2 3 4 +------------------------------------ 1 1.00000 2 0.83013 1.00000 3-0.10054-0.28152 1.00000 4 0.35191 0.23474 0.47605 1.00000 Class Covariance Matrix: 1 2 3 4 +------------------------------------ 1 7.8008 2 6.3460 7.4914 3-2.0335-5.5798 52.4393 4 2.9996 1.9608 10.5207 9.3139
GRN/NIR RED/NIR COTTON RICE OTHERS FOREST SCRUB FALLOW WATER MIR/NIR GRN/MIR
Raw data Classified data Cotton Rice Others Forest Scrub Fallow Water
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
Raw data Classified data CLASS PIXELS %IMAGE HA 1 cot-1 6342 0.63 2344 2 cot-2 56280 5.63 20801 3 rice-1 42608 4.26 15748 4 rice-2 184864 18.49 68326 5 others 143370 14.34 52990 6 for-1 33309 3.33 12311 7 for-2 34605 3.46 12790 8 for-3 54100 5.41 19995 9 scrub-1 48965 4.9 18097 10 scrub-2 108379 10.84 40057 11 fal-1 50353 5.04 18610 12 fal-2 123998 12.4 45830 13 fal-3 63965 6.4 23641 14 water-1 35873 3.59 13259 15 water-2 12989 1.3 4801 Total 1000000 100
Rice map of Odisha state Winter 2016-17
Cotton crop area 4.08 Lakh Ha Cotton crop area 4.137 Lakh Ha
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 1,08,130 0.60 Progression of Groundnut NDVI over kharif 2016 season 0.50 0.40 0.30 Groundnut 0.20 0.10 0.00 Jun Jul Aug Sep FN1 Sep FN2 Oct FN1 Oct FN2 Nov FN1 Nov FN2
SPATIAL DISTRIBUTION OF RICE CROP KHARIF 2004 Raw data Raw data Classified data RICE nrsa
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
IRS LISS-III DATA OF GUNTUR DISTRICT, A.P. COTTON PADDY nrsa
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
CHANGES CROPPING PATTERN OF GUNTUR DISTRICT OF A. P 2001 2005 Cotton Rice
IRS-1C WiFS DATA OF PART GODAVARI AND KRISHNA DELTA, A. P. RAW DATA Jan-25 Feb-18 CLASSIFIED DATA PULSES PADDY
CHANGES IN DISTRIBUTION OF KHARIF RICE OF ANDHRA PRADESH RAW DATA 2000 2002 2004 CLASSIFIED DATA RICE
MULTI-CROP INVENTORY USING IRS LISS-III DATA TULLUR MANDAL, GUNTUR DISTRICT, A. P. RAW DATA CLASSIFIED DATA Banana Maize Tobacco Pulses Chillies Cotton
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
IKONOS Multispectral data of Nanjur tank command 09 th Aug 2003 08 th Dec 2003
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
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
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
RADARSAT DATA OF WEST GODAVARI DISTRICT, A. P. 2005 2004 nrsa
DISTRIBUTION OF KHARIF RICE USING THREE DATE RADARSAT DATA WEST GODAVARI DISTRICT, A. P. KHARIF 2005 2005 2004 RICE nrsa
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
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 2007-08 Nov, 07 Dec, 07 Jan, 08 2. National kharif Rice 2007-08 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
nrsa