Landsat-8 and Worldview-3 Data for Assessing Crop Residue Cover
| Autor: | Miguel Quemada, Alan J. Stern, Craig S. T. Daughtry, W.D. Hively, Andrew L. Russ, M. W. Graham |
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| Rok vydání: | 2018 |
| Předmět: |
Residue (complex analysis)
Crop residue Ground truth 010504 meteorology & atmospheric sciences Multispectral image 0211 other engineering and technologies 02 engineering and technology Spectral bands 01 natural sciences Tillage Soil water Environmental science Transect 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | IGARSS |
| Popis: | Crop residues on the soil surface provide defense against erosive forces of water and wind. Quantifying crop residue cover is crucial for monitoring extent of conservation tillage practices. Current multispectral satellite sensors either lack appropriate spectral bands to reliably distinguish crop residue from soil or cannot provide global coverage. Our objective was to estimate crop residue cover in corn and soybean fields in central Iowa by combining data from two multispectral satellites - Landsat-8 and WorldView-3. Shortly after planting in 2016, we measured crop residue cover in >45 fields using the line-point transect method. Landsat Normalized Difference Tillage Index (NDTI) required local calibrations to account for variations in soils, crops, and moisture conditions. In contrast, WorldView-3 Shortwave Infrared Normalized Difference Residue Index (SINDRI) reliably estimated crop residue cover with minimal ground truth data. Although WorldView-3 images cannot provide global coverage, they can augment and extend ground truth observations for calibrating Landsat indices. |
| Databáze: | OpenAIRE |
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