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Geospatial-based machine learning techniques for land use and land cover map** using a high-resolution unmanned aerial vehicle image
Bangladesh is primarily an agricultural country where technological advancement in the
agricultural sector can ensure the acceleration of economic growth and ensure long-term …
agricultural sector can ensure the acceleration of economic growth and ensure long-term …
Living with landslides: Land use on unstable hillslopes in a rural tropical mountainous environment in DR Congo
Landslides are processes that naturally occur on numerous hillslopes across the world. In
inhabited regions, landslides are commonly seen as a threat and a land degradation …
inhabited regions, landslides are commonly seen as a threat and a land degradation …
Assessment of drought conditions over Iraqi transboundary rivers using FLDAS and satellite datasets
Abstract Study region Middle East. Study focus Droughts are a major natural disaster in
almost every region of the world, causing negative impacts on natural resources and water …
almost every region of the world, causing negative impacts on natural resources and water …
Prediction and monitoring of LULC shift using cellular automata-artificial neural network in Jumar watershed of Ranchi District, Jharkhand
Jumar watershed of Ranchi district is agrarian in nature. The unplanned and exponentially
growing urban sprawl has become one of the probable threats in achieving sustainable …
growing urban sprawl has become one of the probable threats in achieving sustainable …
Monitoring of surface ecological change using remote sensing technique over Al-Hawizeh Marsh, Southern Iraq
A remote sensing-based ecological index (RSEI) is implemented specifically to monitor and
assess ecological changes. In this study, RSEI is used to monitor ecological changes, which …
assess ecological changes. In this study, RSEI is used to monitor ecological changes, which …
Use of remote sensing techniques to assess water storage variations and flood-related inflows for the Hawizeh wetland
High spatial and temporal resolution remote sensing data are becoming readily available.
This has made the use of remote sensing to monitor and quantify spatiotemporal changes in …
This has made the use of remote sensing to monitor and quantify spatiotemporal changes in …
Comparison of the accuracies of different spectral indices for map** the vegetation covers in Al-Hawija district, Iraq
This study aims to evaluate the performance of seven vegetation indices, namely
(Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation …
(Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation …
A review for vegetation vulnerability using artificial intelligent (AI) techniques
Because it is detrimental to all living things, including people, directly and indirectly,
vegetation vulnerability has gained international attention. The vegetation cover is essential …
vegetation vulnerability has gained international attention. The vegetation cover is essential …
Land covers monitoring for Bahar-Al-Najaf (Iraq) based on sentinel-2 imagery
Abstract the last four years have seen a remarkable rise in water levels to the Bahar-Al-
Najaf, which led to some areas adjacent to the Al-Bahar region. This creates a state of …
Najaf, which led to some areas adjacent to the Al-Bahar region. This creates a state of …
Monitoring change detection of vegetation vulnerability using hotspots analysis
Because of the ever-shifting nature of the weather conditions, which are made even more
difficult by the dynamic relationship between the environment and the vegetation, one of the …
difficult by the dynamic relationship between the environment and the vegetation, one of the …