Results 111 to 120 of about 12,403 (242)

Significant PCA results from both the initial LULC PCA and follow-up physico-chemical PCA (with LULC VF1 as a parameter) on selected site parameters.

open access: yes, 2018
Significant PCA results from both the initial LULC PCA and follow-up physico-chemical PCA (with LULC VF1 as a parameter) on selected site parameters.
Daniel E. Spooner (2909807)   +3 more
core   +1 more source

Influence of Soil and Land‐Use/Land‐Cover Data Quality on SWAT Parameter Transferability in Small Subtropical Agricultural Watersheds

open access: yesHydrological Processes, Volume 40, Issue 6, June 2026.
Does input soil and land‐use quality affect SWAT parameter transfer in neighbouring watersheds? Our proxy‐basin experiment in two small agricultural watersheds under crop–livestock rotations showed that capturing LULC dynamics and refining soil characterization can substantially enhance parameter transferability to ungauged neighbouring watersheds ...
Elzon C. Rippel   +7 more
wiley   +1 more source

Fine‐Scale Spatial Variation of Evapotranspiration Across Tropical Land‐Cover Mosaics Revealed by UAV Thermography

open access: yesHydrological Processes, Volume 40, Issue 6, June 2026.
We study evapotranspiration (ET), a key flux in the hydrological cycle, across heterogeneous tropical land‐cover mosaics in lowland Sumatra featuring secondary forest patches, oil palm plantations, and shrubland. We apply high‐resolution UAV thermography and an energy‐balance model to derive ET across three mosaic landscapes (Areas 1–3).
Medha Bulusu   +4 more
wiley   +1 more source

The Effects of Urbanization on Infrastructure Sustainability and Resilience in Variable Microclimates Within Arid Environments

open access: yesEarth's Future, Volume 14, Issue 6, June 2026.
Abstract Rapid urbanization significantly intensifies land surface temperature (LST), with profound implications for local climate, infrastructure sustainability, and environmental quality. The Local Climate Zones (LCZs) classification provides a standardized framework for examining urban thermal dynamics and supporting strategies to mitigate heat ...
Abderraouf Hzami   +4 more
wiley   +1 more source

Map showing LULC across three decades in Gorumara National Park, North Bengal.

open access: yes, 2019
A. LULC for 1998 B. LULC for 2008 C. LULC for 2018. The study landscape has been classified into six major land cover types (Bare ground, Grassland, Riverbank, Shrubland, Water, Woodland).
Kailash Chandra (5916125)   +4 more
core   +1 more source

An evaluation of vegetation health and the socioeconomic dimension of the vulnerability of Jharkhand state of India in climate change scenarios and their likely impact: a geospatial approach

open access: yesEnvironmental & Socio-economic Studies, 2018
Geospatial evaluation of various datasets is extremely important because it gives a better comprehension of the past, present and future and can therefore be significantly utilized in effective decision making strategies.
Ahmad Firoz   +2 more
doaj   +1 more source

Subsoil Carbon and δ13C Spatial Patterns Reveal Land Use Legacy in a Sandy Subtropical Ecotone in Brazil

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 131, Issue 6, June 2026.
Abstract Soil organic carbon (SOC) storage represents one of the most critical ecosystem services provided by soils, yet scientific assessments frequently focus on surface layers, overlooking deeper horizons. In this study, we investigated SOC stocks and spatial patterns of soil δ13C across three contrasting land use and land cover (LULC) types in ...
Lucas F. Alexandre   +7 more
wiley   +1 more source

LULC data

open access: yes
These files are the land use/land cover data of Shanxi Province for the years 2000, 2010, and 2020, sourced from Globeland30. And these data have been reclassified.
openaire   +1 more source

RS‐FloodXDepth: Enhancing Remote Sensing‐Derived Flood Extent and Estimating Flood Depth Using a Hydrologically Guided Region‐Growing Method and High‐Resolution DEMs

open access: yesWater Resources Research, Volume 62, Issue 6, June 2026.
Abstract Remote sensing imagery is widely utilized for mapping flood extents. However, sensor limitations and environmental conditions often reduce mapping capability. Factors such as obscuring clouds, terrain shadows, and dense tree canopies frequently lead to significant information gaps and omission errors, particularly in forests and urban areas ...
D. Tian   +4 more
wiley   +1 more source

Areal average SAVI values for the LULC zones.

open access: yes, 2019
Areal average SAVI values for the LULC zones.
Pedro Cabral (4253539)   +2 more
core   +1 more source

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