Surface modelling of forest aboveground biomass based on remote sensing and forest inventory data-Reference-Cited by-同舟云学术

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Surface modelling of forest aboveground biomass based on remote sensing and forest inventory data

Published:2019-08-28 Issue:14 Volume:36 Page:1549-1564
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Sun Xiaofang¹,Li Bai²,Du Zhengping³,Li Guicai⁴,Fan Zemeng³,Wang Meng¹,Yue Tianxiang³

Affiliation:

1. College of Geography and Tourism, Qufu Normal University, Rizhao, China

2. Forestry Bureau of Suining County, Shaoyang, China

3. Institute of Geographical Science and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

4. China Meteorological Administration, National Satellite Meteorological Center, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Project of Shandong Province Higher Educational Science and Technology Program

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2019.1655799

Reference53 articles.

1. Interannual Changes in Biomass Affect the Spatial Aggregations of Anchovy and Sardine as Evidenced by Geostatistical and Spatial Indicators

2. Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate

3. The Potential of Multisource Remote Sensing for Mapping the Biomass of a Degraded Amazonian Forest

4. Plant-driven variation in decomposition rates improves projections of global litter stock distribution

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1. Multilevel Adaptive Photon Cloud Noise Filtering Algorithm for Different Observation Time Scenes in Forest Environments;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Temporal analysis of desertification vulnerability in Northeast Brazil using Google Earth Engine;Transactions in GIS;2022-03-29

3. Estimation of forest aboveground biomass using combination of Landsat 8 and Sentinel-1A data with random forest regression algorithm in Himalayan Foothills;Tropical Ecology;2021-02-15

4. Divergent Sensitivities of Spaceborne Solar-Induced Chlorophyll Fluorescence to Drought among Different Seasons and Regions;ISPRS International Journal of Geo-Information;2020-09-09

5. Estimating Forest Stock Volume in Hunan Province, China, by Integrating In Situ Plot Data, Sentinel-2 Images, and Linear and Machine Learning Regression Models;Remote Sensing;2020-01-04

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