Results 141 to 150 of about 48,829 (304)

Identification of initial vegetation and habitat changes in small temperate fens using remote sensing

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Temperate fens with only incipient, subtle signs of deterioration can be reliably identified using Sentinel‐2 and aerial imagery, which sensitively detect early productivity‐related structural changes. Abstract Small temperate fens rank among the most endangered habitats in temperate Europe.
Lubomír Tichý   +9 more
wiley   +1 more source

Time‐series digital camera photos combined with machine learning algorithms can realize accurate observation of flowering phenology

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Intelligent approaches are required to extract valuable phenological information from time‐series digital camera photos. In this research, we employed YOLO‐based object detection and semantic segmentation models to identify flowers and flower pixels, acquire flower count and flower cover data, and extract phenophases such as first, peak, and end ...
Chuangye Song   +3 more
wiley   +1 more source

Natural resource inventories and management applications in the Great Basin [PDF]

open access: yes
ERTS-1 resolution capabilities and repetitive coverage have allowed the acquisition of several statewide inventories of natural resource features not previously completed or that could not be completed in any other way.
Halvorson, R. M.   +2 more
core   +1 more source

Fire Fuel Protocol [PDF]

open access: yes, 2003
The purpose of the resource is to measure the different types of fuels for fires.
The GLOBE Program, University Corporation for Atmospheric Research (UCAR)
core  

Retrospective image analysis for long‐term demography using Google Earth imagery

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution Google Earth imagery, combined with minimal field validation, enables retrospective tracking of individual invasive plants. The image shows one of the monitored individuals of Opuntia sp. in Greece. Our approach reveals long‐term demographic patterns, recruitment dynamics, and spatial expansion without continuous ...
Erola Fenollosa   +2 more
wiley   +1 more source

‘Using anuran community diversity and Pseudacris crucifer to predict landscape quality across a land use gradient'

open access: yesWildlife Biology, EarlyView.
As human‐modified landscape and climate changes proliferate, maintaining biodiversity and understanding the function and quality of available habitat is imperative. As anurans (frogs/toads) such as Pseudacris crucifer, can be an indicator species of habitat quality and ecosystem productivity, studying the anuran community in a mixed‐land use region ...
Brian C. Kron, Karen V. Root
wiley   +1 more source

Annual survival in a dynamic species: pronghorn survival patterns across their northern range

open access: yesWildlife Biology, EarlyView.
Quantifying variation in demographic patterns, such as survival and recruitment, is critical for understanding population dynamics and informing evidence‐based and adaptive wildlife management. In this study, we leverage an extensive dataset from over 1000 GPS collared pronghorn Antilocapra americana to provide the first large‐scale evaluation of ...
Molly C. McDevitt   +5 more
wiley   +1 more source

Joint UK Land Environment Simulator (JULES) Version 2.2 User Manual [PDF]

open access: yes, 2010
The Joint UK Land Environment Simulator (JULES) is a computer model that simulates many soil and vegetation processes. This document describes how to run version 2.2 of JULES.
Clark, Douglas   +3 more
core  

Recent Advances in Land Surface Phenology Estimation with Multispectral Sensing

open access: yesProceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management, 2021
Soubry, Irini   +2 more
openaire   +1 more source

Evaluating Remote Sensing Metrics for Land Surface Phenology in Peatlands

open access: yesRemote Sensing
Vegetation phenology is an important indicator of climate change and ecosystem productivity. However, the monitoring of vegetation generative phenology through remote sensing techniques does not allow for species-specific retrieval in mixed ecosystems; hence, land surface phenology (LSP) is used instead of traditional plant phenology based on plant ...
Michal Antala   +5 more
openaire   +2 more sources

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