Results 151 to 160 of about 132,507 (298)

Hydrothermally altered mineral mapping of the Malanjkhand copper mineralization in India using Landsat satellite data

open access: yesGeology, Ecology, and Landscapes
The study evaluates how Landsat-5 Thematic Mapper (TM), Landsat-7 Enhanced Thematic Mapper Plus (ETM+), and Landsat-8 Operational Land Imager (OLI) satellite data can be used to detect and map hydrothermally altered minerals in the Malanjkhand copper ...
Subhanil Guha   +3 more
doaj   +1 more source

Lithological discrimination and mineralogical mapping using Landsat-8 OLI and ASTER remote sensing data: Igoudrane region, jbel saghro, Anti Atlas, Morocco. [PDF]

open access: yesHeliyon, 2023
Baid S   +8 more
europepmc   +1 more source

Application of AIS Technology to Forest Mapping [PDF]

open access: yes, 1985
Concerns about environmental effects of large scale deforestation have prompted efforts to map forests over large areas using various remote sensing data and image processing techniques. Basic research on the spectral characteristics of forest vegetation
Star, J. L., Yool, S. R.
core   +1 more source

Legacy effects of livestock grazing on vegetation of an arid landscape exist more than 30 years after livestock were excluded

open access: yesRestoration Ecology, EarlyView.
Abstract Introduction Globally, livestock grazing is a key driver of vegetation degradation in arid rangelands. This degradation tends to be most severe near artificial water points which are focal points for livestock activity. Conservation reserves have been established on former rangelands; however, the timeframes for vegetation recovery following ...
Neil D. Ross, Adrian Fisher, Mike Letnic
wiley   +1 more source

Analysis of Models to Estimate Morbidity Rates of Respiratory Diseases Through Deep Learning

open access: yesTropical Medicine &International Health, EarlyView.
ABSTRACT Respiratory diseases remain a challenge in Brazil due to socioeconomic inequalities and environmental risks that intensify population vulnerability. This study compared XGBoost with a deep learning model using stacked Gated Recurrent Units (GRU), trained with morbidity data from respiratory diseases and exogenous variables such as per capita ...
Liliane Moreira Nery   +6 more
wiley   +1 more source

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe   +3 more
wiley   +1 more source

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