Results 131 to 140 of about 97,221 (318)

Scale dependence in remotely sensed biodiversity: Leveraging continental‐scale imaging spectroscopy from the National Ecological Observatory Network

Remote Sensing in Ecology and Conservation, EarlyView.
Imaging spectroscopy enables large‐scale biodiversity assessment, yet spectral diversity metrics are scale dependent. Across 15 NEON ecosystems, we find that spectral richness increases sub‐linearly from 3600 m2 to 4 km2, whereas spectral divergence shows weak or inconsistent scaling with area, underscoring the importance of scale‐aware interpretation ...
Meghan T. Hayden, Matthew W. Rossi, Laura E. Dee, Kyle Kovach, Cibele H. Amaral, Jacob Nesslage, Madeline Slimp, Rachel S. Meyer, E. Natasha Stavros   +8 more
wiley   +1 more source

Application of multispectral imaging in forest monitoring: A case study of national parks in Republic of Serbia [PDF]

Zbornik Radova: Geografski Fakultet Univerziteta u Beogradu
Deforestation and forest degradation are one of the most complex ecological challenges worldwide. Multispectral imaging and remote sensing help researchers and forest managers to quantify forest loss and degradation.
Jakovljević Tijana, Đurđić Snežana
doaj   +1 more source

Modis time series applied to crop succession of soybean (Glycine max (L.) Merril) and maize (Zea mays L.) in no-tillage system [PDF]

, 2012
Os sensores orbitais com alta resolução temporal proporcionam identificar as etapas fenológicas dos cultivos agrícolas. O presente artigo teve como objetivo analisar séries temporais do sensor Moderate Imaging Spectroradiometer (MODIS) para a descrição
Carvalho Júnior, Osmar Abílio de, Couto Júnior, Antônio Felipe, Martins, Éder de Souza   +2 more
core  

Classification of tree species and standing dead trees in Boreal forests using UAV‐based RGB, multispectral, and LiDAR point clouds

Remote Sensing in Ecology and Conservation, EarlyView.
We evaluated single‐ and multi‐sensor UAV approaches for classifying tree species and standing dead trees in boreal forests, focusing on key biodiversity indicators such as European aspen. Using spectral and structural features extracted from RGB, multispectral (MSP), and LiDAR point clouds for 1,205 field‐measured trees, we compared classification ...
Anton Kuzmin, Lauri Korhonen, Topi Tanhuanpää, Mikko Kukkonen, Matti Maltamo, Timo Kumpula   +5 more
wiley   +1 more source

Monitoring of Crustose Coralline Algae Using Low‐Altitude Unmanned Aerial Vehicles in Intertidal Reefs

Remote Sensing in Ecology and Conservation, EarlyView.
High‐resolution visible‐light imagery from low‐altitude unmanned aerial vehicles, combined with superpixel segmentation and a Random Forest classifier, provides an efficient and scalable framework for mapping and monitoring crustose coralline algae and reef habitats.
Po‐Chien Lin, Han‐Yang Yeh, Zhi‐Cheng Huang   +2 more
wiley   +1 more source

Combining proximal and remote sensing to assess ‘Calatina’ olive water status

Frontiers in Plant Science
Developing an efficient and sustainable precision irrigation strategy is crucial in contemporary agriculture. This study aimed to combine proximal and remote sensing techniques to show the benefits of using both monitoring methods, simultaneously ...
Alessandro Carella, Roberto Massenti, Francesco Paolo Marra, Pietro Catania, Eliseo Roma, Riccardo Lo Bianco   +5 more
doaj   +1 more source

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

Analysis of land use-land covers changes using normalized difference vegetation index (NDVI) differencing and classification methods

, 2013
Over the last decade, the normalized difference vegetation index (NDVI) differencing method and classification method are widely used as a change detection method and provides detailed information for detecting and monitoring changes in land use-land ...
E. Sahebjalal, Kazem Dashtekian
semanticscholar   +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

Use of different vegetation indices for the evaluation of the kinetics of the cherry tomato (Solanum lycopersicum var. cerasiforme) growth based on multispectral images by UAV

Open Agriculture
This study evaluated seven vegetation indices for the monitoring of a cherry tomato crop using an unmanned aerial vehicle with a multispectral camera that measures in the green, red, and near-infrared spectral bands.
Chávez-Martínez Osiris, Monjardin-Armenta Sergio Alberto, Rangel-Peraza Jesús Gabriel, Sanhouse-García Antonio Jesus, Mora-Felix Zuriel Dathan, Plata-Rocha Wenseslao   +5 more
doaj   +1 more source