Evaluating metrics derived from Landsat 8 OLI imagery to map crop cover
نویسندگان
چکیده
منابع مشابه
Automated Subpixel Surface Water Mapping from Heterogeneous Urban Environments Using Landsat 8 OLI Imagery
Water bodies are a fundamental element of urban ecosystems, and water mapping is critical for urban and landscape planning and management. Remote sensing has increasingly been used for water mapping in rural areas; however, when applied to urban areas, this spatiallyexplicit approach is a challenging task due to the fact that the water bodies are often of a small size and spectral confusion is ...
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Knowledge of the spatial distribution of crop types is important for many environmental and human health research studies. These studies may require crop type maps over large geographical regions for multiple years, which can be derived only from satellite images. Interpretation of Landsat images using traditional image classification techniques is not feasible for such applications because of ...
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The Operational Land Imager (OLI) is a multi-spectral radiometer hosted on the recently launched Landsat-8 satellite. OLI includes a suite of relatively narrow spectral bands at 30-meter spatial resolution in the visible to shortwave infrared that make it a potential tool for ocean color radiometry: measurement of the reflected spectral radiance upwelling from beneath the ocean surface that car...
متن کاملEstimation of Maize Residue Cover Using Landsat-8 OLI Image Spectral Information and Textural Features
The application of crop residue has become increasingly important for providing a barrier against water and wind erosion and improving soil organic matter content, infiltration, evaporation, temperature, and soil structure. The objectives of this work were to: (i) estimate maize residue cover (MRC) from Landsat-8 OLI images using seven vegetation indices (VIs) and eight textural features; and (...
متن کاملTarget Detection Method for Water Mapping Using Landsat 8 OLI/TIRS Imagery
Extracting surface water distribution with satellite imagery has been an important subject in remote sensing. Spectral indices of water only use information from a limited number of bands, thus they may have poor performance from pixels contaminated by ice/snow, clouds, etc. The detection algorithms using information from all spectral bands, such as constrained energy minimization (CEM), could ...
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ژورنال
عنوان ژورنال: Geocarto International
سال: 2018
ISSN: 1010-6049,1752-0762
DOI: 10.1080/10106049.2018.1425739