IDENTIFIKASI PENGGUNAAN LAHAN MENGGUNAKAN CITRA SATELIT LANDSAT 8 MELALUI GOOGLE EARTH ENGINE
نویسندگان
چکیده
منابع مشابه
Multitemporal settlement and population mapping from Landsat using Google Earth Engine
As countries become increasingly urbanized, understanding how urban areas are changing within the landscape becomes increasingly important. Urbanized areas are often the strongest indicators of human interaction with the environment, and understanding how urban areas develop through remotely sensed data allows for more sustainable practices. The Google Earth Engine (GEE) leverages cloud computi...
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Quantifying and monitoring the spatial and temporal dynamics of the global land cover is critical for better understanding many of the Earth's land surface processes. However, the lack of regularly updated, continental-scale, and high spatial resolution (30 m) land cover data limit our ability to better understand the spatial extent and the temporal dynamics of land surface changes. Despite the...
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Pembuatan peta dari citra satelit biasanya mengalami kesulitan jika hanya memakai sebuah citra. Hal ini dikarenakan seringnya muncul gangguan (misalnya berupa awan) yang berada di atas suatu wilayah. Biasanya, para ahli geografi melakukan fusi citra satelit multi-temporal untuk membuat peta wilayah yang terbebas dari gangguan tersebut. Penelitian ini bertujuan untuk melakukan fusi pada citra sa...
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A satellite-derived cropland extent map at high spatial resolution (30-m or better) is a must for food and water security analysis. Precise and accurate global cropland extent maps, indicating cropland and non-cropland areas, are starting points to develop higher-level products such as crop watering methods (irrigated or rainfed), cropping intensities (e.g., single, double, or continuous croppi...
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Wetlands are dynamic and complex aquatic ecosystems that play an important role in the survival of many plant and animal species. This study modeled the spatio-temporal changes of the Arak Meighan wetland during 1985–2020 using the multi-temporal Landsat images. In doing so, the applicability of different satellite-derived indexes including NDVI, NDWI, MNDWI, AWEIsh , AWEInsh , and WRI was inve...
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ژورنال
عنوان ژورنال: Seminar Nasional Official Statistics
سال: 2021
ISSN: 2722-1970
DOI: 10.34123/semnasoffstat.v2020i1.514