Early detection of bark beetle attack using remote sensing and machine learning: A review

SM Marvasti-Zadeh, D Goodsman, N Ray… - ACM Computing …, 2023 - dl.acm.org
Bark beetle outbreaks can have serious consequences on forest ecosystem processes,
biodiversity, forest structure and function, and economies. Thus, accurate and timely …

[HTML][HTML] Integration of remote sensing and machine learning for precision agriculture: a comprehensive perspective on applications

J Wang, Y Wang, G Li, Z Qi - Agronomy, 2024 - mdpi.com
Due to current global population growth, resource shortages, and climate change, traditional
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …

A spectral-temporal constrained deep learning method for tree species map** of plantation forests using time series Sentinel-2 imagery

Z Huang, L Zhong, F Zhao, J Wu, H Tang, Z Lv… - ISPRS Journal of …, 2023 - Elsevier
Plantation forests provide critical ecosystem services and have experienced worldwide
expansion during the past few decades. Accurate map** of tree species through remote …

Integration of deep learning algorithms with a Bayesian method for improved characterization of tropical deforestation frontiers using Sentinel-1 SAR imagery

R Sun, F Zhao, C Huang, H Huang, Z Lu, P Zhao… - Remote Sensing of …, 2023 - Elsevier
Tropical deforestation frontiers continue to expand at alarming rates, but their fine-scale
temporal patterns (eg, start timing, patch forming speed, temporal clustering within a year) …

Improved monitoring of southern corn rust using UAV-based multi-view imagery and an attention-based deep learning method

Z Lv, B Xu, L Zhong, G Chen, Z Huang, R Sun… - … and Electronics in …, 2024 - Elsevier
Southern corn rust (SCR) is a significant foliar disease, which can result in substantial corn
yield losses. Unmanned aerial vehicle (UAV)-based optical remote sensing presents a …

Detecting pest-infested forest damage through multispectral satellite imagery and improved unet++

J Zhang, S Cong, G Zhang, Y Ma, Y Zhang, J Huang - Sensors, 2022 - mdpi.com
Plant pests are the primary biological threats to agricultural and forestry production as well
as forest ecosystem. Monitoring forest-pest damage via satellite images is crucial for the …

Monitoring ecological changes on a rapidly urbanizing island using a remote sensing-based ecological index produced time series

L Lin, Z Hao, CJ Post, EA Mikhailova - Remote Sensing, 2022 - mdpi.com
Island ecosystems are susceptible to the considerable impacts of increasing human
activities, landscape reconstruction, and urban expansion, resulting in changes in the …

E2EVAP: End-to-end vectorization of smallholder agricultural parcel boundaries from high-resolution remote sensing imagery

Y Pan, X Wang, L Zhang, Y Zhong - ISPRS Journal of Photogrammetry and …, 2023 - Elsevier
Rapid and accurate agricultural parcel map** from high-resolution remote sensing
imagery is fundamental to precision agriculture for smallholder farming systems. However …

[HTML][HTML] Assessing Landsat-8 and Sentinel-2 spectral-temporal features for map** tree species of northern plantation forests in Heilongjiang Province, China

M Wang, Y Zheng, C Huang, R Meng, Y Pang, W Jia… - Forest Ecosystems, 2022 - Elsevier
Background Accurate map** of tree species is highly desired in the management and
research of plantation forests, whose ecosystem services are currently under threats. Time …

A Systematic Review of the Application of Remote Sensing Technologies in Map** Forest Insect Pests and Diseases at a Tree-Level.

M Mngadi, I Germishuizen, O Mutanga… - Remote Sensing …, 2024 - Elsevier
An increase in the frequency and severity of forest insect pest and disease (FIPD) outbreaks
has drastically affected the health and functioning of many forest stands worldwide. This has …