Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives
A Lausch, L Bannehr, M Beckmann, C Boehm… - Ecological …, 2016 - Elsevier
Impacts of human civilization on ecosystems threaten global biodiversity. In a changing
environment, traditional in situ approaches to biodiversity monitoring have made significant …
environment, traditional in situ approaches to biodiversity monitoring have made significant …
Small Unmanned Aerial Systems (sUAS) for environmental remote sensing: Challenges and opportunities revisited
Hardin and Jensen (2011) presented six challenges to using small Unmanned Aerial
Systems (sUAS) for environmental remote sensing: challenge of the hostile flying …
Systems (sUAS) for environmental remote sensing: challenge of the hostile flying …
[HTML][HTML] Operational high resolution land cover map production at the country scale using satellite image time series
J Inglada, A Vincent, M Arias, B Tardy, D Morin… - Remote Sensing, 2017 - mdpi.com
A detailed and accurate knowledge of land cover is crucial for many scientific and
operational applications, and as such, it has been identified as an Essential Climate …
operational applications, and as such, it has been identified as an Essential Climate …
[HTML][HTML] Mapping tree species proportions from satellite imagery using spectral–spatial deep learning
Remote sensing can be used to collect information related to forest management. Previous
studies demonstrated the potential of using multispectral satellite imagery for classifying tree …
studies demonstrated the potential of using multispectral satellite imagery for classifying tree …
[HTML][HTML] Image segmentation, registration and characterization in R with SimpleITK
Image Segmentation, Registration and Characterization in R with SimpleITK - PMC Back to
Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI Homepage …
Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI Homepage …
[HTML][HTML] Burned area detection and mapping using Sentinel-1 backscatter coefficient and thermal anomalies
MA Belenguer-Plomer, MA Tanase… - Remote Sensing of …, 2019 - Elsevier
This paper presents a burned area mapping algorithm based on change detection of
Sentinel-1 backscatter data guided by thermal anomalies. The algorithm self-adapts to the …
Sentinel-1 backscatter data guided by thermal anomalies. The algorithm self-adapts to the …
[HTML][HTML] CNN-based burned area mapping using radar and optical data
In this paper, we present an in-depth analysis of the use of convolutional neural networks
(CNN), a deep learning method widely applied in remote sensing-based studies in recent …
(CNN), a deep learning method widely applied in remote sensing-based studies in recent …
Using deep learning to map retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau) from CubeSat images
Retrogressive thaw slumps (RTSs) are among the most dynamic landforms in permafrost
areas, and their formation can be attributed to the thawing of ice-rich permafrost. The spatial …
areas, and their formation can be attributed to the thawing of ice-rich permafrost. The spatial …
A scalable earth observation service to map land cover in geomorphological complex areas beyond the dynamic world: an application in Aosta Valley (NW Italy)
T Orusa, D Cammareri, E Borgogno Mondino - Applied Sciences, 2022 - mdpi.com
Earth Observation services guarantee continuous land cover mapping and are becoming of
great interest worldwide. The Google Earth Engine Dynamic World represents a planetary …
great interest worldwide. The Google Earth Engine Dynamic World represents a planetary …
On the Potentiality of UAV Multispectral Imagery to Detect Flavescence dorée and Grapevine Trunk Diseases
Among grapevine diseases affecting European vineyards, Flavescence dorée (FD) and
Grapevine Trunk Diseases (GTD) are considered the most relevant challenges for viticulture …
Grapevine Trunk Diseases (GTD) are considered the most relevant challenges for viticulture …