Remote sensing in forestry: current challenges, considerations and directions

FE Fassnacht, JC White, MA Wulder… - … An International Journal …, 2024 - academic.oup.com
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 …

Leveraging on advanced remote sensing-and artificial intelligence-based technologies to manage palm oil plantation for current global scenario: A review

MN Akhtar, E Ansari, SSN Alhady, E Abu Bakar - Agriculture, 2023 - mdpi.com
Advanced remote sensing technologies have undoubtedly revolutionized palm oil industry
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

Y Tian, Z Wu, M Li, B Wang, X Zhang - Remote sensing, 2022 - mdpi.com
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 …

Continuous monitoring and sub-annual change detection in high-latitude forests using Harmonized Landsat Sentinel-2 data

C Mulverhill, NC Coops, A Achim - ISPRS Journal of Photogrammetry and …, 2023 - Elsevier
Spatially and temporally precise monitoring of forest resources is becoming increasingly
vital in rapidly changing environmental and economic conditions. However, recent …

Sensors for digital transformation in smart forestry

F Ehrlich-Sommer, F Hoenigsberger, C Gollob… - Sensors, 2024 - mdpi.com
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 …

[HTML][HTML] An assessment approach for pixel-based image composites

S Francini, T Hermosilla, NC Coops, MA Wulder… - ISPRS Journal of …, 2023 - Elsevier
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 …

DDPM-CD: Denoising diffusion probabilistic models as feature extractors for change detection

WGC Bandara, NG Nair, VM Patel - arxiv preprint arxiv:2206.11892, 2022 - arxiv.org
Remote sensing change detection is crucial for understanding the dynamics of our planet's
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 …

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 …

[HTML][HTML] Earth-observation-based monitoring of forests in Germany—recent progress and research frontiers: a review

S Holzwarth, F Thonfeld, P Kacic, S Abdullahi, S Asam… - Remote Sensing, 2023 - mdpi.com
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 …