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Contribution of MODIS image to hydrologic and erosion modeling
Erosion is the most dangerous phenomenon of environmental and economic threat to arable land. By FAO. 35 % of Tunisian land are threatened by water erosion and varies regionally. Quantification and estimation of soil loss by water erosion is now essential to install the best management practices.
Nour El Houda Boughattas +4 more
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Real-Time Spatiotemporal Spectral Unmixing of MODIS Images [PDF]
Mixed pixels are a ubiquitous problem in remote sensing images. Spectral unmixing has been used widely for mixed pixel analysis. However, up to now, most spectral unmixing methods require endmembers and cannot consider fully intraclass spectral variation. The recently proposed spatiotemporal spectral unmixing (STSU) method copes with the aforementioned
Qunming Wang +3 more
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A NOVEL METHOD FOR CLOUD DETECTION IN MODIS IMAGERY [PDF]
Data from the Moderate-Resolution Imaging Spectroradiometer (MODIS) are being widely used for quantitatively estimating parameters in the study of atmospheric and land surface processes.
Y. Jouybari Moghaddam, M. Aghamohamadnia
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Thermal remote sensing is an important tool for monitoring regional climate and environment, including urban heat islands. However, it suffers from a relatively lower spatial resolution compared to optical remote sensing.
Hiroki Mizuochi +2 more
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An Application of MODIS Surface Reflectance Product for Drought Assessment on Agriculture Area in Manukwari – West Papua – Indonesia [PDF]
Drought is one of the natural disasters in Indonesia. Some regions in Indonesia are very vulnerable to drought, including West Papua. This research aimed to map the droughtiness level on the agriculture area in Manokwari - West Papua using MODIS Surface ...
Faisol Arif +3 more
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: This paper presents the first results of a new way of using MODIS (Moderate Resolution Imaging Spectroradiometer) sensor data to visualize phytopigment inconstancy in the near-surface layer of water basins.
Genrik S. Karabashev
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Ambient air temperature is main variable in climatological and hydrological analysis, however limited number of meteorological stations in Indonesia was becoming a problem to provide air temperature data for large areas.
Arif Faisol +3 more
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Clouds limit the quality and availability of optical wavelength surface observations from Earth Observation (EO) satellites. This limitation is particularly relevant for the generation of systematic thematic products from EO medium spatial resolution ...
Andrea Melchiorre +2 more
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With the development of multisource satellite platforms and the deepening of remote sensing applications, the growing demand for high-spatial resolution and high-temporal resolution remote sensing images has aroused extensive interest in spatiotemporal ...
Hongwei Zhang +3 more
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Cloud Detection of MODIS Multispectral Images
AbstractMethods coming from statistics and pattern recognition to estimate the cloud mask from radiance measured by visible and infrared sensors on board satellites are gaining greater consideration for their ability to properly exploit the increasing number of channels available with current and next-generation sensors. Endowed with physical arguments,
Loredana Murino +6 more
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