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Empirical relationships exist between different vegetation indices (VI) and crop's green ground cover fraction (GGC) that allow spatial estimation of canopy characteristics from remote sensing imagery. However, the use of VIs is not suitable for an operational production of GGC maps due to the limited transferability of derived empirical relationships to other regions. Thus, the operational value...
Crop classification greatly benefits from the analysis of multi-temporal Earth Observation (EO) data within a growing season utilizing the distinct phenological behavior of each crop. RapidEye's high repetition rate increases the chances of providing sufficient high resolution image time series offering new ways of classifying crops. This study introduces a supervised decision tree (DT) classification...
Grasslands cover approximately 40% of the Earth’s surface. Low-cost tools for inventory, management, and monitoring are needed because of their great expanse, diversity, and the importance for environmental processes. Remote sensing is a useful technique for providing accurate and reliable information for land use planning and large-scale grassland management. In the context of “GIO land” (Copernicus...
Grasslands cover large areas of the earth's surface and have been extensively converted to other uses such as cultivation and urbanization. The monitoring of grasslands is needed for any land use planning and environmental management. Remote Sensing techniques are suitable to provide detailed spatial information on grassland to support this process. The RapidEye satellite constellation represents...
Grasslands cover about 40 % of the earth's surface [1]. Due to its great expanse and diversity, low-cost tools for inventory, management and monitoring are needed. Remote sensing is a useful technique for providing accurate and reliable information for land use planning and to support large scale grassland management. In the context of “GIO land” (Copernicus initial operations land), which is currently...
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