Results 51 to 60 of about 6,410 (217)

Application of Remote Sensing on El Niño Extreme Effect in Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) [PDF]

, 2021
The years 1997/1998 and 2015/2016 saw the worst El Niño occurrence in human history. The occurrence of El Niño causes extreme temperature events which are higher than usual, drought and prolonged drought.
Oliver Valentine Eboy, Anak Kemarau, Ricky   +1 more
core   +1 more source

Detection of Changes in Surface Water Bodies Urban Area with NDWI and MNDWI Methods [PDF]

International Journal on Advanced Science, Engineering and Information Technology, 2019
Land surface water bodies, an essential part of the Earth’s water cycle such as rivers, lakes, swamp, and reservoirs, influence the global ecosystem and climate global significantly. Makassar, one of the most populated cities in Indonesia, recently experiences massive development that affects the existence of vegetation area and urban aquatic ecosystem.
Muhammad Ichsan Ali, Gufran Darma Dirawan, Abdul Hafid Hasim, Muh Rais Abidin   +3 more
openaire   +1 more source

Estimation Accuracy Obviously Increased of Soil Organic Carbon Content Based on Habitat Patches Scale Using Interpretable Machine Learning in Southwest China

Land Degradation &Development, EarlyView.
ABSTRACT Although machine learning models have been successfully applied to estimate soil organic carbon (SOC), the lack of interpretability research has resulted in the absence of mechanistic explanations for these models. Therefore, in this study, we adopted the following workflow: first, we divided the whole study area into several subregions using ...
Wei Zhou, Jieyun Xiao, Haotian Liu, Lu Xu, Keming Wang   +4 more
wiley   +1 more source

IDENTIFICATION OF INUNDATED AREA USING NORMALIZED DIFFERENCE WATER INDEX (NDWI) ON LOWLAND REGION OF JAVA ISLAND [PDF]

, 2014
Flood disaster is a major issues due to its frequently events on several areas in Indonesia. Delineation of inundated area caused by flood is needed to support disaster emergency response.
Jalu Tejo Nugroho, - Suwarsono, - Wiweka, Suwarsono, -, Nugroho, Jalu Tejo, Wiweka, -   +5 more
core   +1 more source

Análisis multitemporal del NDDI, comparación con el NDWI para determinar la sequía en la Reserva Nacional de Tumbes, Perú, 1986 - 2019 [PDF]

, 2021
La presente investigación se realizó en la reserva nacional de Tumbes (RNTumbes) con la finalidad de determinar la existencia de sequía, así como las áreas que están bajo impacto desde sequías moderadas a sequías con comportamiento anormal.
Gines Tafur, Eber; Escuela de agronomía- Facultad de Ciencias Agrarias, Universidad Nacional de Tumbes., Campaña-Olaya, Jalmer; Escuela de agronomía- Facultad de Ciencias Agrarias, Universidad Nacional de Tumbes.   +1 more
core   +1 more source

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

Land Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li, Qizhong Wu, Xueshun Chen, Jiang Yue, Jieying He, Huaqiong Cheng   +5 more
wiley   +1 more source

Water Extent Monitoring Using Sentinel-2 (Case Study: Latyan Dam Reservoir) [PDF]

Water Harvesting Research
Monitoring the surface area of reservoirs is crucial for effective water resource management, particularly in arid and semi-arid regions where water availability fluctuates significantly.
Amirhossein Maeli, Amirali Alavi, Ehsan Vasheghani Farahani, Mahmoud Mashal, Armin Nasrollahi   +4 more
doaj   +1 more source

Remote sensing and citizen science for habitat mapping: A machine learning approach to lowland heathland in Surrey, UK

People and Nature, EarlyView.
Abstract In a time of extensive global biodiversity loss, conservation efforts increasingly rely on high‐resolution, accurate, up‐to‐date habitat maps to guide decision‐making and strategic interventions. Many products have been developed in response, using machine learning (ML) methods to automate habitat classification, often relying on satellite ...
Victoria Webster, Ana Andries, Daniel Banks, Andrew Jamieson, Ben Siggery, Mike Waite, Richard Murphy, Stephen Morse   +7 more
wiley   +1 more source

Use of Sentinel-2 images for the detection of sandbars along the Lower Vistula

Acta Scientiarum Polonorum. Formatio Circumiectus, 2020
Aim of the study: The aim of this paper was to develop and test detection methods of sandbars for a selected section of the Lower Vistula river with the use of Sentinel-2 Level 2A optical images.
Klaudia Oktawia Kryniecka , Artur Magnuszewski   +1 more
doaj   +1 more source

Validation of remotely-sensed evapotranspiration and NDWI using ground measurements at Riverlands, South Africa [PDF]

, 2014
Quantification of the water cycle components is key to managing water resources. Remote sensing techniques and products have recently been developed for the estimation of water balance variables. The objective of this study was to test the reliability of
Rodriguez, CMG, Jovanovic, Nebo, Bugan, Richard DH, Richard Dh Bugan, García, César Luis, Jovanovic, N, Ingrid Teich, Nebo Jovanovic, Garcia, CL, Carlos M Garcia Rodriguez, Cesar L Garcia, Teich, Ingrid, Bugan, RDH, Garcia Rodriguez, Carlos Marcelo, Teich, I   +14 more
core   +1 more source