Results 61 to 70 of about 109,697 (288)
Ecography, EarlyView.Globally, mountains are highly diverse ecosystems that serve as natural laboratories for testing ecological theories, while providing vital ecosystem services. Their biodiversity arises from the interaction between elevational gradients and topographic complexity, which generate strong variation in environmental conditions across short spatial scales ...
Laura C. Pérez‐Giraldo +3 more
wiley +1 more source
Herkennen habitatkwaliteit graslanden o.b.v. NDVI
, 2019 De kern van weidevogelbeheer betreft in Nederland het op orde krijgen van de habitatkwaliteit in de graslanden. Eerdere ervaringen laten zien dat NDVI-satellietbeelden een belangrijke rol kunnen spelen om hier gebiedsdekkend inzicht in te krijgen.
Tim Visser +4 more
openaire +3 more sources
A Dark Target Algorithm for the GOSAT TANSO-CAI Sensor in Aerosol Optical Depth Retrieval over Land [PDF]
, 2017 Cloud and Aerosol Imager (CAI) onboard the Greenhouse Gases Observing Satellite (GOSAT) is a multi-band sensor designed to observe and acquire information on clouds and aerosols.
Chittenden, Anthony +7 more
core +2 more sources
Energy Science &Engineering, EarlyView.Satellite (MODIS) mapping links Urban Heat Island (UHI) intensity to city‐scale energy demand—higher daytime cooling demand and altered nighttime heating demand—supporting targeted mitigation and planning. ABSTRACT This study examines the surface urban heat island (SUHI) effect on building energy consumption in Tehran from 1998 to 2024, utilizing MODIS
Rasool Maroofiazar, Ali Maboudi Reveshti
wiley +1 more source
The spectral invariant approximation within canopy radiative transfer to support the use of the EPIC/DSCOVR oxygen B-band for monitoring vegetation [PDF]
, 2017 EPIC (Earth Polychromatic Imaging Camera) is a 10-channel spectroradiometer onboard DSCOVR (Deep Space Climate Observatory) spacecraft. In addition to the near-infrared (NIR, 780 nm) and the 'red' (680 nm) channels, EPIC also has the O2 A-band (764±0.2 ...
Knyazikhin, Yuri, Marshak, Alexander
core +3 more sources
Geospatial Approach for the Analysis of Forest Cover Change Detection using Machine Learning
Geosfera Indonesia, 2020 Spatial data classification is famous over recent years in order to extract knowledge and insights into the data. It occurs because vast experimentation was used with various classifiers, and significant improvement was examined in accuracy and ...
R. Sanjeeva Reddy +2 more
doaj +1 more source
Spatial-temporal Evolution Pattern of NDVI and Its Driving Factors in China in Past 40 Years
Shuitu baochi tongbao, 2022 [Objective] The differences in the dominant driving factors of NDVI evolution in different sub-regions and different historical periods in China were determined in order to provide important decision support for the protection and restoration of ...
Bing Guo +5 more
doaj +1 more source
Geological Journal, EarlyView.This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi +3 more
wiley +1 more source
Estimating potential soil erosion for environmental services in a sugarcane growing area using multisource remote sensing data [PDF]
, 2013 Characterization of landscapes is crucial in modelling potential soil erosion to ascertain environmental services that are provided by the main land use in the ecosystem. Remote sensing techniques have proved successful in characterization of landscapes.
Bégué, Agnès +4 more
core
Grassland Research, EarlyView.Tiny “ecosystem engineers,” plateau pikas range across 1600 m², about two basketball courts, mixing soil and nutrients that sustain Tibet's fragile grasslands. Custom‐made trackers and drone imagery show dawn‐to‐dusk surface foraging and nested‐scale patch choices, offering fresh guidance for wildlife‐friendly grazing management.
Dan Li, Johannes M. H. Knops, Li Li
wiley +1 more source