[HTML][HTML] Need and vision for global medium-resolution Landsat and Sentinel-2 data products
Global changes in climate and land use are threatening natural ecosystems, biodiversity,
and the ecosystem services people rely on. This is why it is necessary to track and monitor …
and the ecosystem services people rely on. This is why it is necessary to track and monitor …
Remote sensing of diseases
EC Oerke - Annual review of phytopathology, 2020 - annualreviews.org
Detection, identification, and quantification of plant diseases by sensor techniques are
expected to enable a more precise disease control, as sensors are sensitive, objective, and …
expected to enable a more precise disease control, as sensors are sensitive, objective, and …
Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images
For both the positive economic benefit and the negative ecological impact of the rapid
expansion of oil palm plantations in tropical develo** countries, it is significant to achieve …
expansion of oil palm plantations in tropical develo** countries, it is significant to achieve …
Identifying pine wood nematode disease using UAV images and deep learning algorithms
J Qin, B Wang, Y Wu, Q Lu, H Zhu - Remote Sensing, 2021 - mdpi.com
Pine nematode is a highly contagious disease that causes great damage to the world's pine
forest resources. Timely and accurate identification of pine nematode disease can help to …
forest resources. Timely and accurate identification of pine nematode disease can help to …
Automated attribution of forest disturbance types from remote sensing data: A synthesis
Remote sensing is widely used to detect forest disturbances (eg, wildfires, harvest, or
outbreaks of pathogens or insects) over spatiotemporal scales that are infeasible to capture …
outbreaks of pathogens or insects) over spatiotemporal scales that are infeasible to capture …
Spatio-temporal variation and dynamic scenario simulation of ecological risk in a typical artificial oasis in northwestern China
Landscape ecological risk assessments have played a critical role in measuring and
predicting the quality and dynamic evolution of the ecological environment. In this study, a …
predicting the quality and dynamic evolution of the ecological environment. In this study, a …
Predicting the potential global distribution of Ageratina adenophora under current and future climate change scenarios
G Changjun, T Yanli, L Linshan, W Bo… - Ecology and …, 2021 - Wiley Online Library
Aim Invasive alien species (IAS) threaten ecosystems and humans worldwide, and future
climate change may accelerate the expansion of IAS. Predicting the suitable areas of IAS …
climate change may accelerate the expansion of IAS. Predicting the suitable areas of IAS …
The role of remote sensing for the assessment and monitoring of forest health: A systematic evidence synthesis
Forests are increasingly subject to a number of disturbances that can adversely influence
their health. Remote sensing offers an efficient alternative for assessing and monitoring …
their health. Remote sensing offers an efficient alternative for assessing and monitoring …
A multi-sensor, multi-scale approach to map** tree mortality in woodland ecosystems
Woodland ecosystems, dominant on nearly 4% of all terrestrial land globally, are faced with
a variety of threats, including increasingly prolonged and severe droughts, invasive insect …
a variety of threats, including increasingly prolonged and severe droughts, invasive insect …
UAV remote sensing monitoring of pine forest diseases based on improved Mask R-CNN
G Hu, T Wang, M Wan, W Bao… - International Journal of …, 2022 - Taylor & Francis
Timely and accurate monitoring of pine forest diseases is greatly important to pine forest
disease prevention and forest protection. A method for unmanned aerial vehicle (UAV) …
disease prevention and forest protection. A method for unmanned aerial vehicle (UAV) …