Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives
Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …
tools and data fusion strategies has recently opened new perspectives for environmental …
Land cover classification using Google Earth Engine and random forest classifier—The role of image composition
TN Phan, V Kuch, LW Lehnert - Remote Sensing, 2020 - mdpi.com
Land cover information plays a vital role in many aspects of life, from scientific and economic
to political. Accurate information about land cover affects the accuracy of all subsequent …
to political. Accurate information about land cover affects the accuracy of all subsequent …
Land use and land cover mapping using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A comparison of two composition methods
Accurate and real-time land use/land cover (LULC) maps are important to provide precise
information for dynamic monitoring, planning, and management of the Earth. With the advent …
information for dynamic monitoring, planning, and management of the Earth. With the advent …
Land-use and land-cover classification using a human group-based particle swarm optimization algorithm with an LSTM Classifier on hybrid pre-processing remote …
GB Rajendran, UM Kumarasamy, C Zarro… - Remote Sensing, 2020 - mdpi.com
Land-use and land-cover (LULC) classification using remote sensing imagery plays a vital
role in many environment modeling and land-use inventories. In this study, a hybrid feature …
role in many environment modeling and land-use inventories. In this study, a hybrid feature …
Studying spatial-temporal changes and relationship of land cover and surface Urban Heat Island derived through remote sensing in Yerevan, Armenia
Abstract The city of Yerevan, Armenia has undergone major environmental and economic
changes after the collapse of the Soviet Union. The objectives of this study were to:(i) …
changes after the collapse of the Soviet Union. The objectives of this study were to:(i) …
A review of remote sensing image segmentation by deep learning methods
Remote sensing (RS) images enable high-resolution information collection from complex
ground objects and are increasingly utilized in the earth observation research. Recently, RS …
ground objects and are increasingly utilized in the earth observation research. Recently, RS …
Advancing the mapping of mangrove forests at national-scale using Sentinel-1 and Sentinel-2 time-series data with Google Earth Engine: A case study in China
A high resolution mangrove map (eg, 10-m), including mangrove patches with small size, is
urgently needed for mangrove protection and ecosystem function estimation, because more …
urgently needed for mangrove protection and ecosystem function estimation, because more …
Tree species classification in mixed deciduous forests using very high spatial resolution satellite imagery and machine learning methods
M Deur, M Gašparović, I Balenović - Remote Sensing, 2020 - mdpi.com
Spatially explicit information on tree species composition is important for both the forest
management and conservation sectors. In combination with machine learning algorithms …
management and conservation sectors. In combination with machine learning algorithms …
The potential of UAV-borne spectral and textural information for predicting aboveground biomass and N fixation in legume-grass mixtures
E Grüner, M Wachendorf, T Astor - PloS one, 2020 - journals.plos.org
Organic farmers, who rely on legumes as an external nitrogen (N) source, need a fast and
easy on-the-go measurement technique to determine harvestable biomass and the amount …
easy on-the-go measurement technique to determine harvestable biomass and the amount …
Land use/land cover mapping based on GEE for the monitoring of changes in ecosystem types in the upper Yellow River basin over the Tibetan Plateau
The upper Yellow River basin over the Tibetan Plateau (TP) is an important ecological
barrier in northwestern China. Effective LULC products that enable the monitoring of …
barrier in northwestern China. Effective LULC products that enable the monitoring of …