Individual Tree Species Classification Based on a Hierarchical Convolutional Neural Network and Multitemporal Google Earth Images
Z Lei, H Li, J Zhao, L Jing, Y Tang, H Wang - Remote Sensing, 2022 - mdpi.com
Accurate and efficient individual tree species (ITS) classification is the basis of fine forest
resource management. It is a challenge to classify individual tree species in dense forests …
resource management. It is a challenge to classify individual tree species in dense forests …
Predicting spatio-temporal land use/land cover changes and their drivers forces based on a cellular automated Markov model in Ibb City, Yemen
AQ Dammag, D Jian, G Cong, BQ Derhem… - Geocarto …, 2023 - Taylor & Francis
Land use/land cover (LULC) change profoundly impacts regional natural, economic, and
ecological development; However, no study has been conducted to classify LULC changes …
ecological development; However, no study has been conducted to classify LULC changes …
Assessing and predicting changes of ecosystem service values in response to land use/land cover dynamics in Ibb City, Yemen: a three-decade analysis and future …
AQ Dammag, J Dai, G Cong, BQ Derhem… - International Journal of …, 2024 - Taylor & Francis
Assessing ecosystem services values (ESV) within land use/land cover (LULC) changes is
crucial for promoting human well-being and sustainable development of regional …
crucial for promoting human well-being and sustainable development of regional …
[PDF][PDF] Geospatial mapping of an Orang Asli (Indigenous People) settlement using a UAV and GIS approach
NH Asnawi, AA Ab Rahman, R Omar - Geografia, 2024 - researchgate.net
Abstract The utilisation of Unmanned Aerial Vehicles (UAV) has become ubiquitous in
multidiscipline because of its advanced capabilities and multifunctional. This device can be …
multidiscipline because of its advanced capabilities and multifunctional. This device can be …
Drone Aerial Image Identification of Tropical Forest Tree Species Using the Mask R-CNN
Tropical forests have a wide variety of species and support environmental activities. The
drone's image resolution is 90% more accurate than satellite data. It boosted productivity …
drone's image resolution is 90% more accurate than satellite data. It boosted productivity …
Research on multi-index comprehensive recognition of urban black and odorous water based on GF satellite image
F Liu, X Li, SL Li, GQ Zhang, Q Zhang… - 2022 5th International …, 2022 - ieeexplore.ieee.org
In the process of urban development, the urban water body has been polluted, resulting in
the phenomenon of black and odor, which has become a prominent environmental problem …
the phenomenon of black and odor, which has become a prominent environmental problem …
[PDF][PDF] Design and Verification of a Hyperspectral Imaging System for Outdoor Sports Lighting Measurements
GPK Diatmiko - 2023 - erepo.uef.fi
This thesis examines the feasibility of hyperspectral imaging (HSI) for airborne outdoor
sports lighting measuring, as ground-based lighting measurements require a lot of time and …
sports lighting measuring, as ground-based lighting measurements require a lot of time and …
Object-Based Image Analysis of Hyper Spectral Imagery Using Semantic Segmentation Techniques
Object-based image analysis of Hyperspectral Imagery using Semantic Segmentation
strategies is a singular approach for analyzing far-off sensing statistics. This method …
strategies is a singular approach for analyzing far-off sensing statistics. This method …