Spectral saturation in the remote sensing of high-density vegetation traits: A systematic review of progress, challenges, and prospects
The saturation of spectral reflectance within densely vegetated regions is a renowned
challenge that has precluded the optimal use of broad-band remotely sensed data and its …
challenge that has precluded the optimal use of broad-band remotely sensed data and its …
A systematic review of UAV applications for mapping neglected and underutilised crop species' spatial distribution and health
Timely, accurate spatial information on the health of neglected and underutilised crop
species (NUS) is critical for optimising their production and food and nutrition in developing …
species (NUS) is critical for optimising their production and food and nutrition in developing …
Estimating the Aboveground Biomass of Various Forest Types with High Heterogeneity at the Provincial Scale Based on Multi-Source Data
T Huang, G Ou, Y Wu, X Zhang, Z Liu, H Xu, X Xu… - Remote Sensing, 2023 - mdpi.com
It is important to improve the accuracy of models estimating aboveground biomass (AGB) in
large areas with complex geography and high forest heterogeneity. In this study, k-nearest …
large areas with complex geography and high forest heterogeneity. In this study, k-nearest …
[HTML][HTML] A comparative analysis of machine learning techniques for aboveground biomass estimation: A case study of the Western Ghats, India
K Ayushi, KN Babu, N Ayyappan, JR Nair… - Ecological …, 2024 - Elsevier
Accurate assessment of aboveground biomass (AGB) in tropical forests, particularly within a
biodiversity hotspot, is vital for sustainable resource management and the preservation of …
biodiversity hotspot, is vital for sustainable resource management and the preservation of …
Comparison of Weibull parameter estimation methods using LiDAR and mast wind data in an Indian offshore site: The Gulf of Khambhat
A Gautam, V Warudkar, JL Bhagoria - Ocean Engineering, 2022 - Elsevier
This paper gives a proper study of 11 types of Weibull parameters estimation methods and
their performance comparison for wind potential assessment on India's first offshore project …
their performance comparison for wind potential assessment on India's first offshore project …
Hydroclimatic adaptation critical to the resilience of tropical forests
C Singh, R van der Ent… - Global Change …, 2022 - Wiley Online Library
Forest and savanna ecosystems naturally exist as alternative stable states. The maximum
capacity of these ecosystems to absorb perturbations without transitioning to the other …
capacity of these ecosystems to absorb perturbations without transitioning to the other …
Modelling forest biomass dynamics in relation to climate change in Romania using complex data and machine learning algorithms
Forest biomass controls climate stability, many ecological processes and various ecosystem
services. This study analyzes for the first time the recent changes (1987–2018) of forest …
services. This study analyzes for the first time the recent changes (1987–2018) of forest …
Estimating above-ground biomass of the regional forest landscape of northern Western Ghats using machine learning algorithms and multi-sensor remote sensing …
FV Sainuddin, G Malek, A Rajwadi, PS Nagar… - Journal of the Indian …, 2024 - Springer
Estimating above-ground biomass (AGB) using machine learning (ML) algorithms and multi-
sensor satellite data is a promising approach for monitoring and managing forest resources …
sensor satellite data is a promising approach for monitoring and managing forest resources …
A generic Self-Supervised Learning (SSL) framework for representation learning from spectral–spatial features of unlabeled remote sensing imagery
X Zhang, L Han - Remote Sensing, 2023 - mdpi.com
Remote sensing data has been widely used for various Earth Observation (EO) missions
such as land use and cover classification, weather forecasting, agricultural management …
such as land use and cover classification, weather forecasting, agricultural management …
Dominant expression of SAR backscatter in predicting aboveground biomass: Integrating multi-sensor data and machine learning in Sikkim Himalaya
Accurate assessment of aboveground biomass (AGB) is crucial for understanding carbon
budgets, climate change impacts, and evaluating forest responses to environmental shifts. In …
budgets, climate change impacts, and evaluating forest responses to environmental shifts. In …