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Remote sensing in forestry: current challenges, considerations and directions
Remote sensing has developed into an omnipresent technology in the scientific field of
forestry and is also increasingly used in an operational fashion. However, the pace and level …
forestry and is also increasingly used in an operational fashion. However, the pace and level …
Leveraging on advanced remote sensing-and artificial intelligence-based technologies to manage palm oil plantation for current global scenario: A review
Advanced remote sensing technologies have undoubtedly revolutionized palm oil industry
management by bringing business and environmental benefits on a single platform. It is …
management by bringing business and environmental benefits on a single platform. It is …
[HTML][HTML] Forest fire spread monitoring and vegetation dynamics detection based on multi-source remote sensing images
With the increasingly severe damage wreaked by forest fires, their scientific and effective
prevention and control has attracted the attention of countries worldwide. The breakthrough …
prevention and control has attracted the attention of countries worldwide. The breakthrough …
Continuous monitoring and sub-annual change detection in high-latitude forests using Harmonized Landsat Sentinel-2 data
Spatially and temporally precise monitoring of forest resources is becoming increasingly
vital in rapidly changing environmental and economic conditions. However, recent …
vital in rapidly changing environmental and economic conditions. However, recent …
Sensors for digital transformation in smart forestry
Smart forestry, an innovative approach leveraging artificial intelligence (AI), aims to enhance
forest management while minimizing the environmental impact. The efficacy of AI in this …
forest management while minimizing the environmental impact. The efficacy of AI in this …
[HTML][HTML] An assessment approach for pixel-based image composites
Remote sensing is one of the main sources of information for monitoring forest dynamics;
however, surface reflectance is often not possible to accurately derive due to haze, cloud, or …
however, surface reflectance is often not possible to accurately derive due to haze, cloud, or …
DDPM-CD: Denoising diffusion probabilistic models as feature extractors for change detection
Remote sensing change detection is crucial for understanding the dynamics of our planet's
surface, facilitating the monitoring of environmental changes, evaluating human impact …
surface, facilitating the monitoring of environmental changes, evaluating human impact …
Improving aboveground biomass estimation in lowland tropical forests across aspect and age stratification: A case study in xishuangbanna
Y Wu, G Ou, T Lu, T Huang, X Zhang, Z Liu, Z Yu… - Remote Sensing, 2024 - mdpi.com
Improving the precision of aboveground biomass (AGB) estimation in lowland tropical
forests is crucial to enhancing our understanding of carbon dynamics and formulating …
forests is crucial to enhancing our understanding of carbon dynamics and formulating …
Potential of earth observation to assess the impact of climate change and extreme weather events in temperate forests—A review
M Wegler, C Kuenzer - Remote Sensing, 2024 - mdpi.com
Temperate forests are particularly exposed to climate change and the associated increase in
weather extremes. Droughts, storms, late frosts, floods, heavy snowfalls, or changing climatic …
weather extremes. Droughts, storms, late frosts, floods, heavy snowfalls, or changing climatic …
[HTML][HTML] Earth-observation-based monitoring of forests in Germany—recent progress and research frontiers: a review
One-third of Germany's land surface area is covered by forest (around 11.4 million hectares),
and thus, it characterizes the landscape. The forest is a habitat for a large number of animal …
and thus, it characterizes the landscape. The forest is a habitat for a large number of animal …