Conference paper
Mapping Crop Variability Related to Soil Quality and Crop Stress Within Rainfed Mediterranean Agroecosystems Using Hyperspectral Data
Cultivation and land use practices have a long history within the Mediterranean region exploiting soils as a natural resource. The soils are an essential factor contributing to agricultural production of rainfed crops such as cereals, olive groves and vineyards. Inadequate management is endangering soil quality and productivity, and in turn crop quality and productivity are affected.
The main objective of this project is to map soil and crop variability related to crop stress and land management within a Mediterranean environment based on hyperspectral data within the visible, near-infrared, short-wave infrared as well as thermal infrared $(0.4-12 \mu{\mathrm {m}})$. For this, we use CASI and AHS hyperspectral imagery acquired during the growing season within the Camarena agricultural area in central Spain, characterized by Mediterranean climate, extended agricultural rainfed uses, mostly evolved soils, and erosion features associated to contrasting soil horizons.
Simultaneous to the airborne campaign, an intensive field campaign took place for the characterization of soil and crop variability including chemical and biophysical variables, soil degradation stages, and crop production in selected test sites. In this paper, we focus on the optical VNIR-SWIR spectral domain and present project objectives, selected field and airborne data, and preliminary analyses that show, in this Mediterranean agroecosystem affected by soil degradation, the strong influence of soil quality on crop variability and production based on hyperspectral imagery and yield data.
Language: | English |
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Publisher: | IEEE |
Year: | 2018 |
Pages: | 1-5 |
Proceedings: | 9th workshop on hyperspectral image and signal processing |
ISBN: | 1728115817 , 1728115825 , 9781728115818 and 9781728115825 |
ISSN: | 21586276 and 21586268 |
Types: | Conference paper |
DOI: | 10.1109/WHISPERS.2018.8747219 |
ORCIDs: | Garcia, Monica and Sobejano Paz, Veronica |
SDG 13 - Climate Action SDG 15 - Life on Land SDG 2 - Zero Hunger crop variability hyperspectral imagery land management soil degradation
AHS hyperspectral imagery Agriculture CASI hyperspectral imagery Camarena agricultural area Degradation Hyperspectral imaging Mediterranean agroecosystem Mediterranean climate Mediterranean environment Mediterranean region Production Reflectivity Soil Vegetation mapping agricultural production agriculture biophysical variables chemical variables crop production crop stress crop variability mapping crops erosion evolved soils geophysical image processing hyperspectral data hyperspectral imaging land use practices map soil optical VNIR-SWIR spectral domain rain rainfed Mediterranean agroecosystems rainfed crops soil soil degradation stages soil horizons soil quality turn crop quality vegetation mapping wavelength 0.4 mum to 12.0 mum