Google Earth Engine: a global analysis and future trends
The continuous increase in the volume of geospatial data has led to the creation of storage
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …
A survey of computer vision techniques for forest characterization and carbon monitoring tasks
Estimation of terrestrial carbon balance is one of the key tasks in the understanding and
prognosis of climate change impacts and the development of tools and policies according to …
prognosis of climate change impacts and the development of tools and policies according to …
UAV and machine learning based refinement of a satellite-driven vegetation index for precision agriculture
Precision agriculture is considered to be a fundamental approach in pursuing a low-input,
high-efficiency, and sustainable kind of agriculture when performing site-specific …
high-efficiency, and sustainable kind of agriculture when performing site-specific …
Estimating the aboveground biomass of coniferous forest in Northeast China using spectral variables, land surface temperature and soil moisture
F Jiang, M Kutia, K Ma, S Chen, J Long… - Science of the Total …, 2021 - Elsevier
As a crucial indicator of forest growth and quality, estimating aboveground biomass (AGB)
plays a key role in monitoring the global carbon cycle and forest health assessments. Novel …
plays a key role in monitoring the global carbon cycle and forest health assessments. Novel …
Estimating forest aboveground biomass using Gaofen-1 images, Sentinel-1 images, and machine learning algorithms: A case study of the Dabie Mountain Region …
H Han, R Wan, B Li - Remote Sensing, 2021 - mdpi.com
Quantitatively map** forest aboveground biomass (AGB) is of great significance for the
study of terrestrial carbon storage and global carbon cycles, and remote sensing-based data …
study of terrestrial carbon storage and global carbon cycles, and remote sensing-based data …
Forest height map** using feature selection and machine learning by integrating multi-source satellite data in Baoding City, North China
N Zhang, M Chen, F Yang, C Yang, P Yang, Y Gao… - Remote Sensing, 2022 - mdpi.com
Accurate estimation of forest height is crucial for the estimation of forest aboveground
biomass and monitoring of forest resources. Remote sensing technology makes it …
biomass and monitoring of forest resources. Remote sensing technology makes it …
Assessment of the soil fertility status in Benin (West Africa)–Digital soil map** using machine learning
A soil fertility index map (SFIm) can provide key information to decision-makers in regard to
spatial planning in the context of sustainable land management. The establishment of such …
spatial planning in the context of sustainable land management. The establishment of such …
Map** the forest canopy height in Northern China by synergizing ICESat-2 with Sentinel-2 using a stacking algorithm
The forest canopy height (FCH) plays a critical role in forest quality evaluation and resource
management. The accurate and rapid estimation and map** of the regional forest canopy …
management. The accurate and rapid estimation and map** of the regional forest canopy …
Integrating spaceborne LiDAR and Sentinel-2 images to estimate forest aboveground biomass in Northern China
Background Fast and accurate forest aboveground biomass (AGB) estimation and map**
is the basic work of forest management and ecosystem dynamic investigation, which is of …
is the basic work of forest management and ecosystem dynamic investigation, which is of …
[HTML][HTML] Improving aboveground biomass estimation of natural forests on the Tibetan Plateau using spaceborne LiDAR and machine learning algorithms
Natural forests have the most complex structure and richest biodiversity among terrestrial
ecosystems and are essential for maintaining the carbon balance and stability of the …
ecosystems and are essential for maintaining the carbon balance and stability of the …