Evaluation of farmland quality with the integration of GIS and RS technology at village scale
文献类型： 外文期刊
作者： Gu, Xiaohe 1 ; Wang, Yanchang 1 ; Yang, Xiaodong 1 ; Chen, Yanling 2 ;
作者机构： 1.Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China
2.Henan Polytech Univ, Jiaozuo, Peoples R China
关键词： farmland quality;village scale;Delphi method;influencing factor
期刊名称：THIRD INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS 2014)
ISSN： 2334-3168
年卷期： 2014 年
页码：
收录情况： SCI
摘要： Mastering farmland quality is significant for achieving soil fertility management and promoting sustainable development of farmland resource. Evaluating the farmland quality is a complex problem, because many influencing factors are interrelated and interaction. The Yanba village in Chongqing city in China was chosen as study area. According to the existing index system of agricultural department, the study screened the critical influencing factors, including natural factors and social factors, which could be mapped by spatial analysis technology at village scale. The Delphi method was used to determine the weight of each influencing factors. Taking the farmland parcels as basic units, the comprehensive evaluation model for farmland quality at village scale was developed, through which the s farmland quality in the Yanba village was mapped and analyzed. By the method of density slice and threshold adjustment, the farmland quality in the study area was divided into four levels. Results showed that the spatial distribution of farmland with different quality levels derived from the developed model was consistent with the data of the agricultural department in the study area. This finding indicated that the comprehensive evaluation model with multi-source spatial information could effectively map the farmland with different quality levels at village scale.
- 相关文献
作者其他论文 更多>>
-
Recognition of maize seedling under weed disturbance using improved YOLOv5 algorithm
作者：Tang, Boyi;Zhao, Chunjiang;Tang, Boyi;Zhou, Jingping;Pan, Yuchun;Qu, Xuzhou;Cui, Yanglin;Liu, Chang;Li, Xuguang;Zhao, Chunjiang;Gu, Xiaohe;Li, Xuguang
关键词：Object detection; Maize seedlings; UAV RGB images; YOLOv5; Attention mechanism
-
Genotyping Identification of Maize Based on Three-Dimensional Structural Phenotyping and Gaussian Fuzzy Clustering
作者：Xu, Bo;Zhao, Chunjiang;Xu, Bo;Zhao, Chunjiang;Yang, Guijun;Zhang, Yuan;Liu, Changbin;Feng, Haikuan;Yang, Xiaodong;Yang, Hao;Xu, Bo;Zhao, Chunjiang;Yang, Guijun;Zhang, Yuan;Liu, Changbin;Feng, Haikuan;Yang, Xiaodong;Yang, Hao
关键词：tassel; 3D phenotyping; TreeQSM; genotyping; clustering
-
A Novel Approach for Maize Straw Type Recognition Based on UAV Imagery Integrating Height, Shape, and Spectral Information
作者：Liu, Xin;Gong, Huili;Guo, Lin;Zhou, Jingping;Gong, Huili;Guo, Lin;Gong, Huili;Guo, Lin;Gong, Huili;Guo, Lin;Gong, Huili;Guo, Lin;Gu, Xiaohe;Zhou, Jingping
关键词：maize straw type; multispectral imagery; SESI; object-oriented classification; UAV
-
Field-scale irrigated winter wheat mapping using a novel cross-region slope length index in 3D canopy hydrothermal and spectral feature space
作者：Zhang, Youming;Yang, Guijun;Li, Zhenhong;Liu, Miao;Zhang, Jing;Gao, Meiling;Zhu, Wu;Zhang, Youming;Yang, Guijun;Yang, Xiaodong;Song, Xiaoyu;Long, Huiling;Liu, Miao;Meng, Yang;Thenkabail, Prasad S.;Wu, Wenbin;Zuo, Lijun;Meng, Yang
关键词：Winter wheat; Irrigation mapping; Hydrothermal and spectral feature; Cross-region; Rainfed line; Slope Length Index
-
Monitoring the interannual dynamic changes of soil organic matter using long-term Landsat images
作者：Liu, Chang;Liu, Chang;Zhang, Chi;Chen, Wentao;Qu, Xuzhou;Tang, Boyi;Ma, Kai;Gu, Xiaohe;Sun, Qian
关键词：Soil organic matter; Remote sensing; Machine learning; Transfer learning; Spatial-temporal change
-
Estimation of SOC using VNIR and MIR hyperspectral data based on spectral-to-image transforming and multi-channel CNN
作者：Tang, Aohua;Yang, Guijun;Li, Zhenhong;Chen, Weinan;Zhang, Jing;Tang, Aohua;Yang, Guijun;Pan, Yuchun;Liu, Yu;Long, Huiling;Chen, Weinan;Zhang, Jing;Yang, Yue;Yang, Xiaodong;Xu, Bo;Yang, Yue
关键词：MIR spectral; Multi-channel-CNN; SIT; Soil organic carbon; VNIR spectral
-
Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed
作者：Tang, Boyi;Zhou, Jingping;Zhao, Chunjiang;Pan, Yuchun;Lu, Yao;Liu, Chang;Ma, Kai;Sun, Xuguang;Gu, Xiaohe;Tang, Boyi;Zhou, Jingping;Zhang, Ruifang
关键词：Object detection; Maize seedlings; Weed disturbance; YOLO; UAV multispectral images
