Asia environment data
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# India Bangladesh Cyclone Amphan: Damage and Flood Proxy Maps, May 2020 The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and Caltech, in collaboration with the Earth Observatory of Singapore (EOS), produced these damage and flood proxy maps for India Bangladesh Cyclone Amphan (May 2020) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **ARIA-SG Damage Proxy Map: India and Bangladesh, Cyclone Amphan, 22 May 2020, v0.4 ** (superseded) - **ARIA-SG Damage Proxy Map: India and Bangladesh, Cyclone Amphan, 22 May 2020, v0.4 ** (superseded) - **ARIA-SG Damage Proxy Map: Bangladesh and India, Cyclone Amphan, 22 May 2020, v0.4 ** - **ARIA-SG Damage Proxy Map: Bangladesh and India, Cyclone Amphan, 22 May 2020, v0.4 ** - **ARIA-SG Flood Proxy Map: India, Cyclone Amphan, 22 May 2020, v0.8 ** - **ARIA-SG Flood Proxy Map: India and Bangladesh, Cyclone Amphan, 22 May 2020, v0.4 ** (superseded) - **ARIA-SG Flood Proxy Map: Bangladesh and India, Cyclone Amphan, 22 May 2020, v0.4 ** (superseded) **More map details and files:**
# ARIA Flood Proxy Map: India, Bangladesh, 2019 Floods This map shows areas that are likely flooded in northeast India and Bangladesh due to heavy rains brought by the monsoon season, shown by light blue pixels of 30 m (Copernicus Sentinel-1) and 25 m (ALOS-2) pixel size, and is a preliminary result. The map extents are indicated with red and yellow polygons. This map should be used as a guidance to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas. Derived from synthetic aperture radar data acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA) before (15 May) and during (14 Jul) the event, and by the ALOS-2 satellite operated by the Japanese Aerospace Exploration Agency (JAXA) before (25 Mar) and during (15 Jul) the event. Analysed by the ARIA-SG team at the Earth Observatory of Singapore in collaboration with NASA/JPL-Caltech. For more information, please visit **More map details and files:**
Following publication of the World Map of the Satus of Human-induced Land Degradation (GLASOD), at scale 1:10M, the need for more detailed and more country-specific degradation assessment became apparent. In 1993, the members of the Asian Network on Problem Soils recommended the preparation of a qualitative assessment for South and Southeast Asian at a scale of 1:5 million. The assessment was carried out using a physiographic base map, compiled according to the SOTER methodology, and a slightly modified GLASOD methodology. The information was stored in a digital database and linked to a GIS enabling preparation of thematic outputs in the form of maps, graphs and tables.
This harmonized set of soil parameter estimates for the Indo-Gangetic Plains (IGP) of India, at scale 1:1 000 000, has been derived from soil and terrain data collated in SOTER format by staff of the National Bureau of Soil Survey and Land Use Planning (NBSS and LUP) at Nagpur, India. The data set has been prepared for use in the project on "Assessment of soil organic carbon stocks and change at ... national scale" (GEFSOC), which has IGP-India as one of its four case study areas (see http://www.nrel.colostate.edu/projects/gefsoc-uk/). The land surface of IGP-India has been characterized using 36 unique SOTER units, corresponding with 497 polygons. The major soils of these units have been described using 36 profiles, selected by national soil experts as being representative for these units. The associated soil analytical data have been derived from soil survey reports. Gaps in the measured soil profile data have been filled using a scheme of taxotransfer rules. Parameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for: organic carbon, total nitrogen, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminum saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity of saturated paste (ECe), bulk density, content of sand, silt and clay, content of coarse fragments, and available water capacity(-33 to-1500 kPa). These attributes have been identified as being useful for agro-ecological zoning, land evaluation, crop growth simulation, modelling of soil carbon stocks and change, and analyses of global environmental change. The current parameter estimates should be seen as best estimates based on the current selection of soil profiles and data clustering procedure; taxotransfer rules have been flagged to provide an indication of the confidence in the derived data. Results are presented as summary files and can be linked to the 1:1M scale SOTER map in a GIS, through the unique SOTER-unit code. The secondary SOTER data set for IGP-India is considered appropriate for exploratory studies at regional scale (greater than1:1M); correlation of soil analytical data should be done more rigorously when more detailed scientific work is considered.