High-resolution Land Cover Mapping Projects in JAXA/EORC
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1 2017/07/19 LCLUC SARI International Regional Science Meeting in South/Southeast Asia High-resolution Land Cover Mapping Projects in JAXA/EORC Kenlo Nishida Nasahara (奈佐原顕郎) JAXA/EORC Ecology Research Group / University of Tsukuba
2 JAXA satellite data source products for LCLUC ALOS/AVNIR2 -HLP (high-level products) 2006~ m resolution Japan/Vietnam/Indonesia etc. Ortho-rectification, atmospheric correction, slope correction JERS, PALSAR, PALSAR-2 global mosaic Resolution = 25 m, Year = 2007, 2008, 2009, 2010, 2015, 2016 Polarization = HH, HV ALOS World 3D (AW3D) digital surface model Resolution = 5 m, 30 m
3 Classification algorithm saclass KDE (kernel density estimation) Meta data Suomi-NPP nightlight Open streetmap road netwk AW3D DSM slope & aspect water urban DBF DNF Rice paddy crop grass KDE EBF ENF bare PALSAR mosaic Training data Prior probability for each category KDE Multi-temporal AVNIR2HLP data Water Urban Rice Farm Grass Forest: decid. broad Forest: decid. needle Forest: evergr. broad Forest: evergr. needle Barren Landcover map
4 JAXA High-resolution landcover map, Japan Water Urban Rice Farm Grass Forest: decid. broad Forest: decid. needle Forest: evergr. broad Forest: evergr. needle Barren Training data 10 m resolution, 10 categories including rice paddy field, Representing 2006~2011 Overall accuracy ~ 80 % If evergreen and deciduous are integrated, more than 90%.
5 Landcover change after the nuclear disaster in Fukushima Farmers gave up agriculture. From rice paddy to grassland BEFORE (ALOS/AVNIR2; ) AFTER Landsat 8; ) Ishihara & Tadono, 2017, Scientific Reports
6 JAXA High-resolution landcovermap, North Vietnam 15 m resolution. Source: Landsat, PALSAR, ASTER, SuomiNPP, etc Hoang Thanh Tung et al.
7 East Thailand Agriculture Monitoring (Pa Chan Area) with HAII 30km Google map Google map PALSAR-2 sedmentation LCLUC
8 JAXA Global Forest / non-forest map 25 m resolution. 2007, 2008, 2009, 2010, 2015, 2016 ALOS, ALOS-2
9 JAXA Global Forest / non-forest map 25 m resolution. 2007, 2008, 2009, 2010, 2015 ALOS, ALOS-2
10 JJFAST: JICA-JAXA Forest Early Warning System in the Tropics About 80 countries Every 1.5 month Released in November 2016.
11 DBUX: database unmixing Mizuochi et al., 2014 spatial-temporal data fusion technology High temporal, low spatial Fusion!! Low temporal, high spatial High temporal, High spatial Available data 2001/04/ /05/ /05/ /07/ /08/ /08/ /08/13 Available data Match-up predict Match-up predict predict Match-up predict 2001/04/ /05/ /05/ /07/ /08/ /08/ /08/13
12 DBUX: database unmixing AMSR-E, 2 (NDPI) 2008/02/24, Namibia MODIS scale (MNDWI) Mizuochi et al, RSE, submitted Landsat scale (MNDWI)
13 Groun truth SACLAJ: Site-based dataset for Assessment of Changing Landcover by JAXA An in-situ database for training and validation of LCLUC maps SACLAJ-Gref SACLAJ-Rref SACLAJ-DCP urban Dec forest Evg forest grass Other crop Rice paddy SACLAJ Web
14 Groun truth JAXA Super Site 500 Ideal field-sites for validation of ecological remote sensing. Flat and homogeneous in 500 m x 500 m MODIS, GCOM-C, etc. Overlap with existing networks (Fluxnet, LTER). Tomakomai 苫小牧 Deciduous broad leaf forest biometrics flux Uryu 雨龍 Evergreen needle leaf forest UAV RS Fuji-Hokuroku 富士北麓 Deciduous needle leaf forest PEN LAI Mase 真瀬水田 Rice paddy spectrum etc...
15 Groun truth Phenological Eyes Network 2003 A continuous, biology-oriented, ground truth network for remote sensing. JAXA Super Sites 500 belong to this network also. Automatic Digital Fish-Eye Camera Automatic spectrometer (VIS/NIR/SWIR) Sunphotometer (for aerosol)
16 Good practice: Time-lapse camera Phenology = Seasonal change of plants Ceder forest Larch forest Hardwood forest Rice paddy field Grassland A good key of landcover and climate change impacts!
17 Good practice: Rephotography... Direct and clear evidence of LCLUC! 2006/09/ /09/10 Reforestation in China Koyanagi et al., Deforestation in Japan (deer bite!) Ministry of Environment, Japan
18 Good practice: Rephotography... Direct and clear evidence of LCLUC! 2006/09/ /09/10 Reforestation in China Why not share and open the ground (in-situ) data? Koyanagi et al., Deforestation in Japan (deer bite!) Ministry of Environment, Japan
19 JAXA LCLUC New satellites Coming soon! Global optical imager ADEOS/AVNIR, ADEOS2/GLI, GOSAT/CAI GCOM-C (Global Change Observation Mission-Climate), 2017~ 17 bands, swath: 1150 km, IFOV: 250 m ~ 1000 m High-resolution optical imager JERS/OPS ASTER, ALOS/AVNIR2 Advanced Optical Satellite (ALOS-3), 2020 or 2021 ~ 6 bands, swath: 50 km ~ 70 km, IFOV: 0.8 m ~ 3.2 m SAR JERS/SAR ALOS/PALSAR ALOS2/PALSAR2 Advanced Radar Satellite (ALOS-4), 2020 or 2021 ~ IFOV/Swath: 1 m ~ 3 m / 25 km, 3 m ~ 10 m / 200 km, 10 m ~ 25 m / 700 km, Band: L Vegetation Lidar on ISS (International Space Station) a new series! MOLI (Multi-footprint Observation Lidar and Imager),????~ Lidar: 25 m footprint, 150 Hz PRF Imager: 3 bands green, red, NIR, IFOV=5 m, swath=1000 m
20 DMSP/OLS
21 DMSP/OLS
22 MODIS NDVI change (red: increase,green: decrease) [2014~2016] - [2003~2005] DMSP/OLS 2013
23 Environmental Kuznets Curve? MODIS NDVI change (red: increase,green: decrease) [2014~2016] - [2003~2005] DMSP/OLS 2013
24 Keenan et al., 2015
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