Applications of artificial intelligence and LiDAR in forest inventories: A Systematic Literature Review

WG Rodrigues, GS Vieira, CD Cabacinha… - Computers and …, 2024 - Elsevier
Forest inventory is a crucial tool for managing forest resources by providing quantitative and
qualitative information about a particular region, much of which is collected manually in the …

Nation-scale map** of coastal aquaculture ponds with sentinel-1 SAR data using google earth engine

Z Sun, J Luo, J Yang, Q Yu, L Zhang, K Xue, L Lu - Remote Sensing, 2020 - mdpi.com
Global rapid expansion of the coastal aquaculture industry has made great contributions to
enhance food security, but has also caused a series of ecological and environmental issues …

[BOOK][B] The potential of Sentinel-2 satellite images for land-cover/land-use and forest biomass estimation: A review

C Isbaex, AM Coelho - 2021 - intechopen.com
Map** land-cover/land-use (LCLU) and estimating forest biomass using satellite images
is a challenge given the diversity of sensors available and the heterogeneity of forests …

GEE4FLOOD: rapid map** of flood areas using temporal Sentinel-1 SAR images with Google Earth Engine cloud platform

VSK Vanama, D Mandal… - Journal of Applied Remote …, 2020 - spiedigitallibrary.org
The present state of the art technologies for flood map** are typically tested on small
geographical regions due to limitation of resources, which hinders the implementation of …

Lowland rice map** in Sédhiou region (Senegal) using sentinel 1 and sentinel 2 data and random forest

E Fiorillo, E Di Giuseppe, G Fontanelli, F Maselli - Remote Sensing, 2020 - mdpi.com
In develo** countries, information on the area and spatial distribution of paddy rice fields
is an essential requirement for ensuring food security and facilitating targeted actions of both …

[HTML][HTML] An improved surface water extraction method by integrating multi-type priori information from remote sensing

B Zhao, J Wu, X Han, F Tian, M Liu, M Chen… - International Journal of …, 2023 - Elsevier
Surface water map** based on historical, neighbourhood, and other priori information has
shown improved accuracy. However, the accuracy can be compromised due to the lack of …

[HTML][HTML] Synergistic use of Sentinel-1, Sentinel-2, and Landsat 8 in predicting forest variables

G Fang, H Xu, SI Yang, X Lou, L Fang - Ecological Indicators, 2023 - Elsevier
Forest variables measurement is indispensable to supervising the dynamic of forest carbon
storage. As commonly quantified forest variables, canopy cover (CC), diameter at breast …

Synergistic Integration of Time Series Optical and SAR Satellite Data for Mariculture Extraction

S Wang, C Huang, H Li, Q Liu - Remote Sensing, 2023 - mdpi.com
Mariculture is an important part of aquaculture, and it is important to address global food
security and nutrition issues. However, seawater environmental conditions are complex and …

Vegetation types map** using multi-temporal landsat images in the google earth engine platform

M Aghababaei, A Ebrahimi, AA Naghipour, E Asadi… - Remote sensing, 2021 - mdpi.com
Vegetation Types (VTs) are important managerial units, and their identification serves as
essential tools for the conservation of land covers. Despite a long history of Earth …

Texture Features Derived from Sentinel-2 Vegetation Indices for Estimating and Map** Forest Growing Stock Volume

G Fang, X He, Y Weng, L Fang - Remote Sensing, 2023 - mdpi.com
Forest growing stock volume (GSV, m3/ha) is an indispensable variable for forest resources
supervision. Precise measurement of GSV is conducive to monitoring forest dynamics …