Forest Cover Change Detection by Using High-resolution Remote Sensing Image

Abstract

Abstract: Setellite-1 and Resources-1 remote sensing images are used as research data. This paper uses method of object-oriented multi-scale segmentation and spectral feature threshold to extract cut-over areas.Study area included harvested area and non-harvested area.Forest cover change has been detected by post-classification.The results showed that the imagery has good internal geometric consistency,the orthorectification accuracy between two-period imageries can be less than one pixel.The area accuracy of remote sensing change detection and the coincidence rate compared with the actual changes were 93.1% and 95.0%.This method can better detect changes of forest cover.It is suitable for annual update of forest resource data for the county.

Key words: remote sensing, forest cover, object-oriented, change detection

CLC Number:

P237
TP75

FU Qiang, DAI Huabing, XUE Xiaopo. Forest Cover Change Detection by Using High-resolution Remote Sensing Image[J]. FOREST RESOURCES WANAGEMENT, 2013, (5): 76-79.

[1]	HAO Jun, LYU Kangting, HU Tianqi, WANG Yunge, XU Gang. Remote Sensing Inversion of Mangrove Biomass Based on Machine Learning [J]. Forest and Grassland Resources Research, 2024, 0(1): 65-72.
[2]	ZHU Zan, WANG Yongjun, WANG Jianqi, XU Yulan, QIU Xinqi, WAN Xi. Construction of a Carbon Storage Measurement Model for Eucalyptus Canopy in Guangxi Based on Drone Oblique Photography [J]. Forest and Grassland Resources Research, 2024, 0(1): 88-94.
[3]	REN Xiaoqi, HOU Peng, CHEN Yan. Advances in Remote Sensing Retrieval of Forest Aboveground Biomass [J]. Forest and Grassland Resources Research, 2023, 0(6): 146-158.
[4]	JIAO Quanjun, ZHENG Yanfeng, HUANG Wenjiang, ZHANG Bing, ZHANG Heyi, SHI Yimeng, WU Fayun, FU Anmin. Detection of Discolored Trees Caused by Pine Wilt Disease Based on Vegetation Index Method Using Terrestrial Ecosystem Carbon Inventory Satellite Data [J]. FOREST RESOURCES WANAGEMENT, 2023, 0(4): 123-131.
[5]	ZOU Weimin, CHEN Chao, HUANG Lei, SONG Meixuan, LI Xuejian, DU Huaqiang. Geographic Weighted Regression Model Combined with Remote Sensing for Estimating Forest Aboveground Carbon Storage of Songyang County [J]. FOREST RESOURCES WANAGEMENT, 2023, 0(4): 132-140.
[6]	LIANG Licheng, FU Xiaoqiang, ZHANG Bin, CHENG Guxun, LI Zuohui. Dynamic Monitoring of Spartina alterniflora in Xiangshan Harbor Based on GEE and Random Forest [J]. FOREST RESOURCES WANAGEMENT, 2023, 0(3): 38-45.
[7]	ZHOU Mei, LI Chungan, YANG Chengling, LI Zhen. Experiments on Estimating Planted Forest Inventory Attributes Based on UAV-LiDAR Data [J]. FOREST RESOURCES WANAGEMENT, 2023, 0(3): 90-97.
[8]	ZHANG Huifang, ZHU Yali, ZHANG Jinglu, GAO Jian, DILIXIATI·Baoerhan . Above-Ground Biomass Prediction of Arbor Forest in Altay Mountain Area Based on High-Resolution Remote Sensing Data [J]. FOREST RESOURCES WANAGEMENT, 2023, 0(2): 104-110.
[9]	XIE Wenchun, LI Qiangfeng, LI Yanchun, WU Zhenshan, YANG Zhengfan. Object-Oriented Classification of Wetland Vegetation Community in Jilin-1 Remote Sensing Image [J]. FOREST RESOURCES WANAGEMENT, 2023, 0(1): 141-152.
[10]	NIE Jing, LU Chi, OU Guanglong, XU Hui. Two-Stage Sampling Estimation of Above-Ground Biomass of Pinus kesiya var.langbianensis Based on Remote Sensing Factors from Landsat8 OLI [J]. FOREST RESOURCES WANAGEMENT, 2022, 0(6): 68-75.
[11]	YANG Xueqing, SUN Zhichao, WANG Lisheng, CHAI Zheng, QIU Yiwen, JIANG Chunying. Study of Sampling Survey Method for Forest Fuels Based on Large Plots [J]. FOREST RESOURCES WANAGEMENT, 2022, 0(5): 53-59.
[12]	QIN Lin, MENG Xianjin, ZHANG Shuihua, XUE Yadong, LIU Xinke, Xing Peng. Application Evaluation of BJ3 Satellite Data in Remote Sensing Monitoring of Pine Wilt Disease [J]. FOREST RESOURCES WANAGEMENT, 2022, 0(4): 126-133.
[13]	TIAN Haijing, WANG Lin, HAN Liliang, FAN Yunbao, YANG Jilin. Grassland Vegetation Coverage Retrieval Based on Sentinel-2 Multi-Spectral Remote Sensing Data: A Case Study of Inner Mongolia Autonomous Region [J]. FOREST RESOURCES WANAGEMENT, 2022, 0(4): 134-140.
[14]	REN Tianchen, CHEN Junfeng, LIU Nan. Dynamic Change and Influencing Factors of Vegetation Cover over the Past 30 years in the Wutai Mountain Area [J]. FOREST RESOURCES WANAGEMENT, 2022, 0(4): 89-99.
[15]	HAO Shuai, WANG Xing, ZHANG Qiuliang, WANG Bing, TIAN Yuan. Study on Remote Sensing Extractions of Burned Areas in Greater Khingan Mountains [J]. FOREST RESOURCES WANAGEMENT, 2022, 0(2): 75-81.

Forest Cover Change Detection by Using High-resolution Remote Sensing Image

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments