Results 61 to 70 of about 14,070 (221)

Integrating remote‐sensing and meteorological data to identify key drivers of the potential distribution of a grassland grasshopper

open access: yesEcological Entomology, EarlyView.
An ensemble model achieved excellent accuracy (AUC = 0.973) in predicting the potential distribution of O. decorus asiaticus. Climate (temperature & August precipitation) and vegetation type are the primary drivers defining the species' suitable habitats.
Du Bobo   +5 more
wiley   +1 more source

Linking eBird data with high spatiotemporal remote sensing products to estimate occupancy of bird populations across the island of Ireland

open access: yesIbis, EarlyView.
The vast increase in biodiversity data generated through citizen science initiatives, alongside a growing suite of remote sensing products and advanced modelling tools, has opened new avenues for rapidly, accurately and efficiently monitoring species trends to inform conservation, management and policy.
Ramiro D. Crego   +7 more
wiley   +1 more source

Impact of Urban Environmental Indices on Surface Temperature in Dhaka: A Policy‐Oriented Perspective

open access: yesClimate Resilience and Sustainability, Volume 5, Issue 1, June 2026.
ABSTRACT Dhaka's rapid urban expansion has intensified surface heating and degraded environmental quality. This study analyzes environmental indices from 2015 to 2025, revealing a strong positive relationship between built‐up growth and land surface temperature, and negative associations with vegetation and water presence.
Milon Bokshi   +2 more
wiley   +1 more source

Impacts of past abrupt land change on local biodiversity globally [PDF]

open access: yes, 2019
Abrupt land change, such as deforestation or agricultural intensification, is a key driver of biodiversity change. Following abrupt land change, local biodiversity often continues to be influenced through biotic lag effects.
A De Palma   +69 more
core   +2 more sources

Applications of Remote Sensing in various research domains using Google Earth Engine (GEE) - Module1

open access: yes, 2021
Creating an account in Google Earth Engine and False-color composite (FCC) formation using Landsat-8.
openaire   +1 more source

Use of new generation geospatial data and technology for low cost drought monitoring and SDG reporting solution : a thesis presented in partial fulfillment of the requirement for the degree of Master of Science in Computer Science at Massey University, Manawatū, New Zealand [PDF]

open access: yes, 2018
Food security is dependent on ecosystems including forests, lakes and wetlands, which in turn depend on water availability and quality. The importance of water availability and monitoring drought has been highlighted in the Sustainable Development ...
Dehghan-Shoar, Mohammad Hossain
core  

Performance Evaluation of Automated Flood Inundation Mapping Techniques Using Multi‐Temporal Sentinel‐1 SAR Data

open access: yesJournal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT In recent times, the development of algorithms to delineate water surface maps has significantly boosted flood monitoring and mitigation efforts by utilizing dual polarization, multi‐temporal Sentinel‐1 synthetic aperture radar (SAR) data. The Sentinel‐1 mission, with its global land monitoring capability, has been widely employed for SAR ...
Gautam Dadhich   +5 more
wiley   +1 more source

Educational Aspects of Using Google Earth Engine: Training Course for Educators by the Junior Academy of Sciences of Ukraine [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Google Earth Engine (GEE) is a cloud-based geoinformation platform that enables the processing of satellite data, offering substantial computing capabilities.
S. Dovgyi   +6 more
doaj   +1 more source

Flood Hazard Mapping in a Data‐Scarce Urban Watershed Using Analytical Hierarchy Process and Fuzzy Logic: A Case Study of Cuttack, India

open access: yesJournal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT Floods are among the most frequent and damaging natural hazards in India, particularly affecting low‐lying urban areas in the eastern regions such as Cuttack, Odisha. This study aims to develop a flood hazard susceptibility map for the Cuttack district in Odisha, India, using a combined Analytical Hierarchy Process (AHP) and fuzzy logic ...
Siprarani Pradhan   +3 more
wiley   +1 more source

Prevalent Greening Conceals the Forgone Ecological Potential of Forest Loss in Southeast Asia

open access: yesGeophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract Across Southeast Asia (SEA), rapid land‐use transformations have extensively replaced natural forests with fragmented plantations and agricultural mosaics. However, quantifying the ecological legacy of this transformation is hindered by persistent cloud cover and the confounding signal of vegetation growth driven by concurrent environmental ...
Weiqing Zhao   +5 more
wiley   +1 more source

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