Results 61 to 70 of about 87,231 (317)
Near-real-time disturbance detection within the remotely sensed time series has become a crucial task in many environmental applications that can help policymakers and responsible authorities to make rapid decisions and proper actions. Although there are
Ebrahim Ghaderpour, Tijana Vujadinovic
doaj +1 more source
Banana and plantain are vital for food security and income in West Africa, yet banana bunchy top virus (BBTV) threatens production. This study combined remote sensing, field surveys, modelling and socio‐economic analysis to assess BBTV spread and control strategies in Benin.
Renata Retkute +13 more
wiley +1 more source
Comparing Atmospheric Correction Methods For Landsat Oli Data
Landsat data used for monitoring activities to land cover because it has spatial resolution and high temporal. To monitor land cover changes in an area, atmospheric correction is needed to be performed in order to obtain data with precise digital value ...
Trisakti, Bambang +3 more
core +1 more source
This Open Letter highlights peatlands as critical yet overlooked ecosystems in Brazil's climate and biodiversity policies. By translating scientific evidence into clear, actionable priorities for policymakers, it supports more accurate climate reporting, effective mitigation strategies, and improved land‐use governance.
Suelma Ribeiro Silva +52 more
wiley +1 more source
Evaluating anisotropy‐based Monin–Obukhov similarity theory over canopies and complex terrain
This study shows that an anisotropy‐based generalization of Monin–Obukhov surface‐layer scaling (SC23) applies readily across a wide range of atmospheric conditions with variable terrain, canopies, and land‐cover complexity. This work focuses on the scaling of velocity variances for 7 years at the 47 sites in the National Ecological Observation Network
Tyler S. Waterman +3 more
wiley +1 more source
Information about land surface temperature (LST) plays a crucial role in environmental studies, as it provides essential data for understanding climate patterns, assessing ecosystem health, and predicting environmental changes.
Yehia Miky
doaj +1 more source
ABSTRACT Exhaustive long‐term and large‐scale ice jam records are scarce in most cold river environments. Many discrete events occur in small, sparsely populated river systems and are poorly represented in open‐source databases. These observation biases are transferred to predictive models of ice jams and the collective understanding of their formation
Lisane Arsenault‐Boucher +4 more
wiley +1 more source
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner +21 more
wiley +1 more source
Funafuti Atoll, Tuvalu is located in the southwestern Pacific Ocean, which has experienced some of the highest rates of global sea-level rise over the past 60 years. Atoll islands are low-lying accumulations of reef-derived sediment that provide the only
Michino Hisabayashi +2 more
doaj +1 more source
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law +10 more
wiley +1 more source

