Using remote sensing to identify individual tree species in orchards: A review

A Ozdarici-Ok, AO Ok - Scientia Horticulturae, 2023 - Elsevier
Fruit trees are an essential subset of all tree species due to their high water and nutrient
content. They play a vital role in human nutrition and provide a significant economic boost …

Data fusion in earth observation and the role of citizen as a sensor: A scoping review of applications, methods and future trends

A Karagiannopoulou, A Tsertou, G Tsimiklis, A Amditis - Remote Sensing, 2022 - mdpi.com
Recent advances in Earth Observation (EO) placed Citizen Science (CS) in the highest
position, declaring their essential provision of information in every discipline that serves the …

[HTML][HTML] Implementing Deep Learning algorithms for urban tree detection and geolocation with high-resolution aerial, satellite, and ground-level images

L Velasquez-Camacho, M Etxegarai… - … , Environment and Urban …, 2023 - Elsevier
Urban forests are becoming increasingly important for human well-being as they provide
ecosystem services that contribute to improving well-being of city dwellers and to addressing …

Assessment of olive tree canopy characteristics and yield forecast model using high resolution UAV imagery

D Stateras, D Kalivas - Agriculture, 2020 - mdpi.com
Greek agriculture is mainly based on olive tree cultivation. Farmers have always been
concerned about annual olive orchard production. The necessity for the improvement of …

Evaluation of dimensionality reduction methods for individual tree crown delineation using instance segmentation network and UAV multispectral imagery in urban …

X Xi, K Xia, Y Yang, X Du, H Feng - Computers and Electronics in …, 2021 - Elsevier
The diversity of features in urban forest poses challenges to the task of delineation individual
tree crowns. Multispectral image helps to improve the accuracy of individual tree crown …

Examining the roles of spectral, spatial, and topographic features in improving land-cover and forest classifications in a subtropical region

X Yu, D Lu, X Jiang, G Li, Y Chen, D Li, E Chen - Remote Sensing, 2020 - mdpi.com
Many studies have investigated the effects of spectral and spatial features of remotely
sensed data and topographic characteristics on land-cover and forest classification results …

Comparison of canopy shape and vegetation indices of citrus trees derived from UAV multispectral images for characterization of citrus greening disease

A Chang, J Yeom, J Jung, J Landivar - Remote Sensing, 2020 - mdpi.com
Citrus greening is a severe disease significantly affecting citrus production in the United
States because the disease is not curable with currently available technologies. For this …

A method of segmenting apples based on gray-centered RGB color space

P Fan, G Lang, B Yan, X Lei, P Guo, Z Liu, F Yang - Remote Sensing, 2021 - mdpi.com
In recent years, many agriculture-related problems have been evaluated with the integration
of artificial intelligence techniques and remote sensing systems. The rapid and accurate …

Mapping the essential urban land use in changchun by applying random forest and multi-source geospatial data

S Chang, Z Wang, D Mao, K Guan, M Jia, C Chen - Remote Sensing, 2020 - mdpi.com
Understanding urban spatial pattern of land use is of great significance to urban land
management and resource allocation. Urban space has strong heterogeneity, and thus …

Road accident risk prediction using generalized regression neural network optimized with self-organizing map

N Kaffash Charandabi, A Gholami… - Neural Computing and …, 2022 - Springer
A road accident risk map that is designed to locate high-risk areas is an efficient way to
reduce road traffic injuries and fatalities. To produce an accurate road accident risk map, it is …