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Relevant bibliographies by topics / Forest biomass Forest biomass Optical radar. Artificial satellites in forestry

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Academic literature on the topic 'Forest biomass Forest biomass Optical radar. Artificial satellites in forestry'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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Journal articles on the topic "Forest biomass Forest biomass Optical radar. Artificial satellites in forestry"

1

Lee, Yong-Suk, Sunmin Lee, Won-Kyung Baek, Hyung-Sup Jung, Sung-Hwan Park, and Moung-Jin Lee. "Mapping Forest Vertical Structure in Jeju Island from Optical and Radar Satellite Images Using Artificial Neural Network." Remote Sensing 12, no. 5 (2020): 797. http://dx.doi.org/10.3390/rs12050797.

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Recently, due to the acceleration of global warming, an accurate understanding and management of forest carbon stocks, such as forest aboveground biomass, has become very important. The vertical structure of the forest, which is the internal structure of the forest, was mainly investigated by field surveys that are labor intensive. Recently, remote sensing techniques have been actively used to explore large and inaccessible areas. In addition, machine learning techniques that could classify and analyze large amounts of data are being used in various fields. Thus, this study aims to analyze the

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2

Chen, Lin, Yeqiao Wang, Chunying Ren, Bai Zhang, and Zongming Wang. "Optimal Combination of Predictors and Algorithms for Forest Above-Ground Biomass Mapping from Sentinel and SRTM Data." Remote Sensing 11, no. 4 (2019): 414. http://dx.doi.org/10.3390/rs11040414.

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Accurate forest above-ground biomass (AGB) mapping is crucial for sustaining forest management and carbon cycle tracking. The Shuttle Radar Topographic Mission (SRTM) and Sentinel satellite series offer opportunities for forest AGB monitoring. In this study, predictors filtered from 121 variables from Sentinel-1 synthetic aperture radar (SAR), Sentinal-2 multispectral instrument (MSI) and SRTM digital elevation model (DEM) data were composed into four groups and evaluated for their effectiveness in prediction of AGB. Five evaluated algorithms include linear regression such as stepwise regressi

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3

Zhu, Yuanhui, Kai Liu, Soe W. Myint, et al. "Integration of GF2 Optical, GF3 SAR, and UAV Data for Estimating Aboveground Biomass of China’s Largest Artificially Planted Mangroves." Remote Sensing 12, no. 12 (2020): 2039. http://dx.doi.org/10.3390/rs12122039.

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Accurate methods to estimate the aboveground biomass (AGB) of mangroves are required to monitor the subtle changes over time and assess their carbon sequestration. The AGB of forests is a function of canopy-related information (canopy density, vegetation status), structures, and tree heights. However, few studies have attended to integrating these factors to build models of the AGB of mangrove plantations. The objective of this study was to develop an accurate and robust biomass estimation of mangrove plantations using Chinese satellite optical, SAR, and Unmanned Aerial Vehicle (UAV) data base

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Çolak, E., M. Chandra, and F. Sunar. "THE USE OF MULTI-TEMPORAL SENTINEL SATELLITES IN THE ANALYSIS OF LAND COVER/LAND USE CHANGES CAUSED BY THE NUCLEAR POWER PLANT CONSTRUCTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W8 (August 23, 2019): 491–95. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w8-491-2019.

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<p><strong>Abstract.</strong> Turkey, due to increased demand for energy has made plans for nuclear power generation since 1970. Sinop Nuclear Power Plant, which will be built on Sinop İnceburun peninsula at the Black Sea coast of Turkey, is one of the three different nuclear power plants planned to be built in Turkey. The Sinop Nuclear Power Plant consist of four different reactors. The construction of the first unit is expected to be completed by 2023, and the fourth unit is planned to be activated by 2028. On the other hand, the construction of the nuclear power plant will

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Dissertations / Theses on the topic "Forest biomass Forest biomass Optical radar. Artificial satellites in forestry"

1

Pflugmacher, Dirk. "Remote sensing of forest biomass dynamics using Landsat-derived disturbance and recovery history and lidar data." Thesis, 2011. http://hdl.handle.net/1957/25792.

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Improved monitoring of forest biomass is needed to quantify natural and anthropogenic effects on the terrestrial carbon cycle. Landsat's temporal and spatial coverage, fine spatial grain, and long history of earth observations provide a unique opportunity for measuring biophysical properties of vegetation across large areas and long time scales. However, like other multi-spectral data, the relationship between single-date reflectance and forest biomass weakens under certain canopy conditions. Because the structure and composition of a forest stand at any point in time is linked to the stand's

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