Results 151 to 160 of about 45,417 (317)

Hyperspectral species maps and LiDAR‐based structured population models show future forest fire frequency may compromise forest resilience

Remote Sensing in Ecology and Conservation, EarlyView.
Monitoring forest recovery from disturbances at scale requires tracking tree dynamics, yet traditional ground‐based approaches are resource‐intensive. We present a pipeline to parameterize integral projection models (IPMs) using LiDAR data and hyperspectral‐based species maps to assess post‐fire recovery across large, forested areas at the Caribou ...
Jessica McLean, Tommaso Jucker, Alice Rosen, Sean M. McMahon, Roberto Salguero‐Gómez   +4 more
wiley   +1 more source

Evaluating lake water quality monitoring using hyperspectral remote sensing and machine learning

Environmental Research Communications
Enhancing lake water quality monitoring is crucial for environmental sustainability and human health. Despite recent advancements, gaps remain in accurately estimating water quality across diverse lake types using remote sensing techniques.
Md Mamun, Xiao Yang
doaj   +1 more source

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

Estimation of leaf area index from PROBA/CHRIS hyperspectral multi-angular data

, 2008
Leaf Area Index (LAI) is a key structural and functional biophysical variable of the vegetated surfaces which is important in quantifying evapotranspiration rates and the energy exchange of terrestrial vegetation.
Luckman, A., Kamalesh, V.L., Milton, E.J., Grey, W.M.F.   +3 more
core  

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

Mapping Scytonemin Pigment Content and Biocrust Functional Indicators Using High‐Resolution Multispectral Imagery

Remote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román, Tong Qiu, Fernando T. Maestre, Elizabeth A. La Rue, Sergio Vargas Zesati, Anthony Schaefer, Ryan V. Trexler, Nicole Pietrasiak, Estelle Couradeau   +8 more
wiley   +1 more source

In-situ and airborne hyperspectral data for detecting agricultural activities in a dense forest landscape. [PDF]

Data Brief, 2023
Rajesh CB, Kumar CVSSM, Jha SS, Ramachandran KI, Nidamanuri RR.   +4 more
europepmc   +1 more source

Design of the Integration and Technical Verification and Validation Phase of the Ground Segment of the Hyperspectral Satellite Mission EnMAP

, 2011
EnMAP (Environmental Mapping and Analysis Program) is a German hyperspectral satellite mission, with a ground segment operated by the Earth Observation Center (EOC) and the German Space Operation Center (GSOC) of the German Aerospace Center (DLR).
Makasy, Christine, Storch, Tobias, Missling, Klaus-Dieter, Mühle, Helmut, Müller, Rupert, de Miguel, Amaia, Eberle, Sabrina, Habermeyer, Martin   +7 more
core  

AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development

Sustainable Development, EarlyView.
ABSTRACT Construction and demolition waste (C&DW) represents up to 40% of global solid waste, posing a significant barrier to achieving circular economy (CE) objectives and the Sustainable Development Goals (SDGs), particularly SDG 11 and SDG 12. However, construction waste management (CWM) systems remain constrained by fragmented data environments ...
Mohamed T. Elnabwy, Pablo Martinez
wiley   +1 more source

MSGF-GLP: fusion method of visible and hyperspectral data for early detection of discolored standing trees. [PDF]

Front Plant Sci, 2023
Zhou H, Wu Y, Wang W, Song J, Liu G, Shi J, Sun H.   +6 more
europepmc   +1 more source