Results 31 to 40 of about 1,769 (150)

Drought monitoring and its effects on vegetation and water extent changes using remote sensing data in Urmia Lake watershed, Iran

open access: yesJournal of Water and Climate Change, 2022
The assessment of drought hazards is important due to their socio-economic impacts on water resources, agriculture, and ecosystems. In this study, the effects of drought on changing water area and canopy of the Lake Urmia watershed in the northwest of ...
Jalil Helali   +9 more
doaj   +1 more source

A Water Index for SPOT5 HRG Satellite Imagery, New South Wales, Australia, Determined by Linear Discriminant Analysis

open access: yesRemote Sensing, 2013
A new water index for SPOT5 High Resolution Geometrical (HRG) imagery normalized to surface reflectance, called the linear discriminant analysis water index (LDAWI), was created using training data from New South Wales (NSW), Australia and the ...
Tim Danaher, Adrian Fisher
doaj   +1 more source

A COMPARATIVE STUDY OF LAND SURFACE TEMPERATURE WITH DIFFERENT INDICES ON HETEROGENEOUS LAND COVER USING LANDSAT 8 DATA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
The temperature rise in urban areas has become a major environmental concern. Hence, the study of Land surface temperature (LST) in urban areas is important to understand the behaviour of different land covers on temperature.
R. Bala   +3 more
doaj   +1 more source

Evaluation of Water Indices for Surface Water Extraction in a Landsat 8 Scene of Nepal

open access: yesSensors, 2018
Accurate and frequent updates of surface water have been made possible by remote sensing technology. Index methods are mostly used for surface water estimation which separates the water from the background based on a threshold value.
Tri Dev Acharya   +2 more
doaj   +1 more source

Combining Water Indices for Water and Background Threshold in Landsat Image

open access: yesProceedings, 2017
Accurate and frequent update of surface water has been made possible by remote sensing technology. Index methods are mostly used for surface water estimation which separates the water from background based on a threshold value.
Tri Dev Acharya   +3 more
doaj   +1 more source

The Application of Modified Normalized Difference Water Index (MNDWI) by Leaf Area Index in the Retrieval of Regional Drought Monitoring [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
The vegetation coverage is one of the important factors that restrict the accuracy of remote sensing retrieval of soil moisture. In order to effectively improve the accuracy of the remote sensing retrieval of soil moisture and to reduce the impact of ...
H.-w. Zhang, H.-l. Chen
doaj   +1 more source

A Complementary Remote-Sensing Method to Find Persons Missing in Water: Two Case Studies

open access: yesForensic Sciences, 2023
This short communication discusses how a specific geoarchaeological remote-sensing (RS) method, such as analyzing satellite images through NDWI (Normalized Difference Water Index), can be used to aid in searching and locating persons missing in ...
Pier Matteo Barone   +2 more
doaj   +1 more source

Modeling land use dynamics and land surface temperature using GEE and CA-ANN: a case study of Pakistan's freshwater basins

open access: yesGeocarto International
This study analyses land use/land cover (LULC) changes using observations from 2000, 2010 and 2020, and projects future dynamics up to 2070. Land surface temperature (LST) and spectral indices, including the normalized difference vegetation index (NDVI),
Syeda Maria Zafar   +5 more
doaj   +1 more source

Divergent Blue Carbon Trajectories in the Yellow River Delta Post‐1976 Diversion: Hydrological Stability and Human Disturbance Contrasts Revealed by Multi‐Source Remote Sensing (1984–2023)

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Coastal wetlands are critical blue carbon sinks, yet their spatiotemporal dynamics under environmental change remain insufficiently quantified. Taking the Yellow River Delta (YRD) as a natural laboratory, this study synthesizes multi‐source remote sensing data, including optical and radar imagery spanning from 1984 to 2023, to explore the ...
Mengqian Jiang   +6 more
wiley   +1 more source

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

open access: yesPeople 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   +7 more
wiley   +1 more source

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