Results 101 to 110 of about 7,084 (203)

Remote sensing and citizen science for habitat mapping: A machine learning approach to lowland heathland in Surrey, UK

open access: yesPeople and Nature, EarlyView.
Abstract In a time of extensive global biodiversity loss, conservation efforts increasingly rely on high‐resolution, accurate, up‐to‐date habitat maps to guide decision‐making and strategic interventions. Many products have been developed in response, using machine learning (ML) methods to automate habitat classification, often relying on satellite ...
Victoria Webster   +7 more
wiley   +1 more source

Periglacial Puzzles: Unravelling Environmental Controls on Alpine Solifluction Lobe Dimensions and Shape

open access: yesPermafrost and Periglacial Processes, EarlyView.
ABSTRACT Freeze–thaw processes cause periglacial creep (otherwise known as solifluction) which forms solifluction lobes. These are lobate features characterized by a steep riser (front) and a smooth tread (body). Despite the widespread occurrence of these lobes, the controls on their morphometry remain poorly understood. Research into solifluction lobe
Jil S. van Etten   +2 more
wiley   +1 more source

Made in the shade: Leaf responses of native wildflowers to single‐axis photovoltaic solar energy

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
As solar energy expands globally, balancing renewable power generation with biodiversity and ecosystem health has become an urgent challenge. This study investigated how native wildflowers respond at leaf level to the unique microclimates created by rotating solar panels in California's Central Valley.
Yudi Li   +3 more
wiley   +1 more source

Bridging Human and Plant Adaptations for Climate Resilience

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Climate change is transforming agriculture through both gradual shifts and increasingly unpredictable extremes, challenging farmers' ability to protect crops and livelihoods. This study brings together farmer experiences and plant adaptation strategies to explore how people and plants respond to similar climate pressures.
Nicola Favretto   +3 more
wiley   +1 more source

Drought analysis using by NDVI index in the plain of Qorveh and Dehgolan. [PDF]

open access: yesتحقیقات کاربردی علوم جغرافیایی, 2016
Drought phenomenon with different goals including planning, water sources management and dealing with the problems due to water shortage has been investigated by most scholars.
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doaj  

Effects of timed LED regimes on tomato plant traits, performance of two‐spotted spider mites, and predatory mites (Phytoseiulus persimilis)

open access: yesPest Management Science, Volume 81, Issue 4, Page 2300-2311, April 2025.
Light‐emitting diode (LED)‐based treatments for enhancing crop production and pest management have primarily focused on continuous treatments. This study, using Tetranychus urticae and Phytoseiulus persimilis, demonstrates that the timing of LED supplementation is crucial for designing integrated pest management strategies that improve both plant ...
Patrice Savi   +5 more
wiley   +1 more source

Normalized Difference Vegetation Index (NDVI) based vegetation change detection in Som River Catchment

open access: yesRESEARCH REVIEW International Journal of Multidisciplinary, 2021
Mahipal Singh Sihag, Mahipal Singh Sihag
openaire   +1 more source

Normalized Difference Vegetation Index (NDVI) as a tool for wheat yield traits estimation [PDF]

open access: yes, 2017
Field-based high-throughput plant phenotyping using spectral reflectance measurements possess the great potential to improve genetic gains for different yield traits of wheat. The objective of this study was to estimate the potential of using NDVI (Normalized Difference Vegetation Index) measurements of wheat crop canopy in identification of a specific
Ljubičić, Nataša   +9 more
openaire  

Using Deep Learning AI to Detect Riparian Vegetation Recovery Following a Major Flood in the Brisbane River

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Post‐flood riparian vegetation recovery demands significant attention; however, the complexity of traditional remote sensing methods often hinders environmental managers from implementing rapid vegetation monitoring. This paper developed a model using a Deep Learning Model within ArcGIS to classify and detect recovery of vegetation with high ...
Sydney O'Hare, Jinghan Li, Yongping Wei
wiley   +1 more source

Non-Destructive Drone-Based Multispectral and RGB Image Analyses for Regression Modeling to Assess Waterlogging Stress in Pseudolysimachion linariifolium

open access: yesHorticulturae
Urban gardens play a vital role in enhancing the quality of the environment and biodiversity. However, irregular rainfall and poor soil drainage due to climate change have increased the exposure of garden plants to waterlogging stress.
TaekJin Yoon, TaeWan Kim, SungYung Yoo
doaj   +1 more source

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