Results 141 to 150 of about 72,731 (267)

Improved Cerrado Wetland Mapping Through Seasonal Moisture Metrics, Terrain Information and Semantic Segmentation

Remote Sensing in Ecology and Conservation, EarlyView.
Brazil's Cerrado valley wetlands—swamp savanna and gallery forest—are highly important for the biome's water cycle and carbon storage and are susceptible to degradation from the impacts of land use expansion and the climate crisis. In support of their detailed monitoring and assessment, we developed and tested a transferable mapping approach that ...
Felix Beer, Hugo do Nascimento Bendini, Mateus de Souza Miranda, Vu‐Dong Pham, Leila Maria Garcia Fonseca, Cássia Beatriz Rodrigues Munhoz, Sebastian van der Linden   +6 more
wiley   +1 more source

Monitoring and assessment of vegetation covers of different biogeographical zones in Jordan using remote sensing and mathematical modelling

Kuwait Journal of Science
Plant systems act as reservoirs for storing carbon in biomass and soil. The main objective of this study is to assess the current and future changes in the carbon pools of ecosystems in Jordan's under-predicted climate impacts.
doaj   +1 more source

應用遙測與地理資訊系統探討東北黑土區景觀的土地退化與耕地保育評估

, 2009
[[abstract]]執行起迄： 20090801～20100731 核定金額： 747,000 元 中文摘要：本研究使用MODIS取得的影像衍算歸一化植被指數（Normalized difference vegetation index, NDVI）與濕度指數（Normalized difference moisture index, NDMI），用以評估乾旱狀態的空間資訊。NDVI與NDMI的關係使用皮爾遜相關分析探討，並發現存在顯著正相關。本研究使用的乾旱指標評估乾旱狀態並確認其空間範圍 ...
林孟龍
core  

Remote Sensing‐Based Identification of Habitat Loss for Herbivorous Waterbirds Driven by Wetland Inundation Alterations

Remote Sensing in Ecology and Conservation, EarlyView.
We present a deep learning framework integrating remote sensing and SHAP interpretation to map 22‐year habitat dynamics of herbivorous waterbirds in Dongting Lake. Results show nearly 50% habitat loss, driven primarily by hydrological recession timing rather than static inundation extent.
Dongshuo Lu, Haobo Zhang, Peng Zhang, Xiaoning Liu, Liwei Chang, Lei Cheng, Jianbo Chang   +6 more
wiley   +1 more source

Monitoring of vegetation and land use changes process using Landsat data (Case study: Sarvestan plain) [PDF]

تحقیقات کاربردی علوم جغرافیایی
Desertification is a serious environmental and socio-economic threat to the planet. The aim of this study is to use a scientific, reasonable and repeatable method to evaluate the process of vegetation and land use as two important factors in the process ...
sara kaviani ahangar, Rasool Mahdavi, gholamreza zehtabian, hamid gholami, Ashok K Chapagain   +4 more
doaj  

The Effect Of Environmental Condition Changes On Distribution Of Urban Heat Island In Jakarta Based On Remote Sensing Data

, 2015
Anthropogenic activities of urban growth and development in the area of Jakarta has caused increasingly uncomfortable climatic conditions and tended to be warmer and potentially cause the urban heat island (UHI).
Suwarsono, Nurwita Mustika Sari, Indah Prasasti   +2 more
core  

A review of the research and advancements in MSDF monitoring for the remote sensing of soil and water conservation in China

River, EarlyView.
Abstract With the advancement of remote sensing technology, the accuracy of satellite remote sensing data has continuously improved, and the precision of large‐scale soil and water conservation monitoring has steadily increased. However, owing to differences in sensor acquisition and processing methods, monitoring data obtained through various ...
Wenxiang Liu, Shaohua Lei, Jinsong Shi, Kun Sun, Qiu Jin   +4 more
wiley   +1 more source

Isolation, Insularity and Resilience: A Review of the Geophysical, Socioeconomic, and Environmental Vulnerabilities of Gran Canaria and Lesvos Islands for Policy Interventions to Global Change

Sustainable Development, EarlyView.
ABSTRACT The dynamic nature of small islands being geographically isolated and their perceived connectedness with global networks complicates research attempts to draw general conclusions on whether insularity leads to marginalization or strengthens their resilience for sustainable development.
Toheeb Lekan Jolaosho, Mazen Marouani, Takwa Boughanmi   +2 more
wiley   +1 more source

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

Sustainable Development, EarlyView.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella, Izni Zahidi, Chow Ming Fai, Chukwuma Okolie, Quoc Bao Pham   +4 more
wiley   +1 more source

Research on the spatiotemporal evolution characteristics of NDVI in Shendong mining area based on GEE long-time series remote sensing images. [PDF]

Sci Rep
Wu Z, Wang F, Fang J.
europepmc   +1 more source