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Early detection of bark beetle attack using remote sensing and machine learning: A review
Bark beetle outbreaks can have serious consequences on forest ecosystem processes,
biodiversity, forest structure and function, and economies. Thus, accurate and timely …
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 …
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
Plantation forests provide critical ecosystem services and have experienced worldwide
expansion during the past few decades. Accurate map** of tree species through remote …
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
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) …
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
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 …
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 …
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
Island ecosystems are susceptible to the considerable impacts of increasing human
activities, landscape reconstruction, and urban expansion, resulting in changes in the …
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
Rapid and accurate agricultural parcel map** from high-resolution remote sensing
imagery is fundamental to precision agriculture for smallholder farming systems. However …
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
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 …
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.
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 …
has drastically affected the health and functioning of many forest stands worldwide. This has …