Monitoring of Soil Arsenic (As) Content in Agricultural Soils based on Hyperspectral Reflectance
Monitoring of Soil Arsenic (As) Content in Agricultural Soils based on Hyperspectral Reflectance
Session ID#: 120639
Session Description:
The non-essential toxic metalloid arsenic contamination in agricultural soils is a critical issue for crop yield and quality for safe consumption in many parts of the world. The soil-arsenic interactions in agricultural field have been studied comprehensively in past few decades. The analysis of arsenic contamination in cultivated soil has a great implication to the protection and restoration of soil. The objective of this study was to explore the mechanism for rapidly monitoring arsenic contamination in agricultural soils with the reflectance spectra. Hyperspectral remote sensing is able to effectively monitor arsenic pollution in cultivated soil. However, due to probable multifaceted nonlinear relationship among the soil arsenic content, the spectra and data redundancy. A risk estimation model with high efficiency and accuracy is urgently needed to forecast plant stress and changes in reflectance characteristics with arsenic level in soils.
Co-Organized:
- GC - Global Environmental Change
Index Terms:
0299 General or miscellaneous [GEOHEALTH]
0480 Remote sensing [BIOGEOSCIENCES]
1640 Remote sensing [GLOBAL CHANGE]
4337 Remote sensing and disasters [NATURAL HAZARDS]
Primary Convener: Arnab Saha, Heriot-Watt University, Institute for Infrastructure & Environment, Edinburgh, EH14, United Kingdom
Conveners: Bhaskar Sen Gupta, Heriot-Watt University, Institute of Infrastructure and Environment, Edinburgh, United Kingdom and Sandhya Patidar, Heriot-Watt University, Institute of Infrastructure and Environment, Edinburgh, United Kingdom
Primary Liaison: Arnab Saha, Heriot-Watt University, Institute for Infrastructure & Environment, Edinburgh, EH14, United Kingdom
See more of: Biogeosciences