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|TanDEM-X Science Service System|
|Title||Comparison and integration of TerraSAR-X with optical remote sensing in estimating vegetation parameters in typical arid agroecosystems in Central Asia|
|Investigator||Brinkmann, Katja - University of Kassel, Institute of Crop Science (INK)|
|Summary||The proposed research is part of an interdisciplinary Sino-Mongolian-German DFG research project, which will work on the Transformation processes and sustainability of agro-pastoral landuse systems of Dzungarian river oases in Central Asia (‘TransOases’). The research will be carried out at five research sites that are experiencing a rapid transformation process from pastoralism to a more intensive agricultural land use across the Chinese/ Mongolian border. |
Most of the area of the five sites is covered by rangeland with only extensive grazing, however, near the river there also are extended irrigated fields mostly planted with spring wheat (Triticum aestivum L.) and alfalfa (Medicago sativa L.) and small proportions of land dedicated to market-oriented vegetable production.
The research objectives focus on remote sensing and GIS techniques to estimate vegetation parameters in typical arid agroecosystems. The overall objective is to combine TerraSAR-X data with satellite optical remote sensing data and aerial photographs (thousands of true colour and near-infrared images will be taken from a drone at an altitude of 300 m) to assess the vegetation distribution and its biomass production at the river oases.
During a field survey, ground thruthing data is collected by estimation of canopy and soil hyperspectral reflectance data, as well as vegetation parameters (LAI, biomass, chlorophyll and water content).
The methodological approach of the proposed research will focus on the application of TerraSAR-X and the technical methods to integrate TerraSAR-X, optical remote sensing data and additional wavelength radar data.
Besides the development of new methods in vegetation monitoring, this study aims at deriving a detailed map of land use and land productivity of the project area using the following research hypotheses:
(1) The combination of TerraSAR-X data, RADARSAT SAR data (C-band), optical remote sensing data (Landsat TM and ASTER) and high resolution aerial images taken from a remotely controlled small airplane (drone) allows the automated differentiation of crop field and rangeland vegetation in the proximity of Dzungarian river oases.
(2) After proper ground-truthing (calibration), the combination of the above mentioned datasets allows the reliable assessment of biomass dry matter at the field level.
(3) The dynamics of agricultural productivity determined at a global scale by TERRA and AQUA satellites (with high temporal resolution MODIS composite images) allow the estimation of temporal trends in biomass production of Dzungarian river oases.
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