Results 121 to 130 of about 59,716 (313)

Analysis of NDVI Bidirectionality Based on SAILH Model      

, 2010
NDVI是植被遥感中最为常用的一种植被指数,建立NDVI与其他冠层参数模型必须考虑其方向性问题。本文基于SAILH模型讨论了连续植被冠层NDVI的二向性特征,并分析了叶面积指数、叶倾角分布、热点参数以及太阳天顶角和相对方位角对NDVI的影响。研究表明冠层NDVI在主平面观测方向存在一个明显的负热点,前向散射方向的NDVI大于后向散射方向;冠层NDVI的二向性分布随外界参数的改变而发生变化,但每个参数对NDVI二向性的影响程度不同,并且通常后向散射方向受各参数的影响要小于前向散射方向。
周迪 , 施平, 梁守真
core  

Climate‐Driven Mangrove Dieback and Recovery: A Case Study in Albert and Leichhardt Rivers, Australia

Remote Sensing in Ecology and Conservation, EarlyView.
Cycles of dieback and recovery drove mangrove forest dynamics at the Albert and Leichhardt Rivers (Gulf of Carpentaria, Queensland, Australia) over 36 years (1987–2023). Landward margins were the most affected by reduced tidal inundation when the alignment of low lunar declination suppressed tidal range and extreme El Niño phases lowered mean sea level.
Rogerio Victor S. Gonçalves, Emma Asbridge, Jeffrey J. Kelleway, Richard Lucas, Kerrylee Rogers   +4 more
wiley   +1 more source

Crop Water Stress Index (CWSI) Estimation Using Modis Data

, 2006
Crop Water Stress Index (CWSI) is an index which is used to explain the amount of crop water defisiency based on canopy surface temperature. Many researches of CWSI have been done for arranging irigation water system in several crops at different areas ...
Parwati Sofan, M.Rokhis Khomarudin
core  

Using Airborne Laser Scanning and Sentinel‐2 to Understand Subcanopy Light Regimes and Understory Diversity of Vascular Plants in Temperate Mountain Forests

Remote Sensing in Ecology and Conservation, EarlyView.
This study demonstrates that not just Airborne Laser Scanning, but also Sentinel‐2 can effectively estimate absolute canopy cover and canopy cover heterogeneity ‐ structural metrics that determine the subcanopy light regime, found to be linked to the vascular plant species richness in the understory of temperate mountain forests.
Felix Wieland‐Glasmann, Cornelius Senf, Kristin H. Braziunas, Rupert Seidl, Peter Annighöfer   +4 more
wiley   +1 more source

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

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

Comparison of the Vegetation Indices to Detect the Tripocal Rain Forest Changes using Breaks for Additive Seasonal and Trend (BFAST) Model

, 2012
Remotely sensed vegetation indices (VI) such as the Normalized Difference Vegetation Index (NDVI) are increasingly used as a proxy indicator of the state and condition of the land cover/vegetation, including forest. However, the Enhanced
Parwati Sofan, Yahya Darmawan
core  

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

تخمین عملکرد گندم آبی بوسیله تصاویر ماهواره لندست در برخی از مزارع شهرستان مشهد [PDF]

Pizhūhish/hā-yi tulīd-i giyāhī, 2014
یکی از روشهایی که اخیرا در کشور بمنظور پایش محصولات کشاورزی مورد استفاده قرار می¬گیرد، استفاده از تصاویر ماهواره¬ای می¬باشد. با هدف تخمین عملکرد مزارع گندم بوسیله تصاویر ماهواره لندست سنجنده TM و ETM+، 13 مزرعه گندم در دو سال 1388 و 1389 در شهرستان مشهد ...
نسرین صالح نیا, حسین ثنایی نژاد, مهدی نصیری محلاتی, حسین زارع, مرجان قائمی   +4 more
doaj  

Urban Heat and Spatial Statistics, Toward Sustainable Cities and Society: A PRISMA‐Based Systematic Review and Empirical Assessment (2020–2025)

Sustainable Development, EarlyView.
ABSTRACT Over the past few decades, the intensification of global warming has brought increased attention to urban thermal dynamics, particularly regarding Land Surface Temperature (LST) and the Urban Surface Heat Island (SUHI) effect. This study conducts a systematic literature review alongside a bibliometric analysis of 123 peer‐reviewed articles ...
David Hidalgo‐García, Hamed Rezapouraghdam, Antonio Jesús Aguilar‐Aguilera, María Luísa de la Hoz‐Torres, Rubén López‐Cantero   +4 more
wiley   +1 more source