Remote sensing for agricultural applications

被引：1
|
作者：
Zhengwei Yang [1 ]
WU Wen-bin [2 ]
Liping Di [3 ]
Berk üstünda?
机构：
[1] Research and Development Division USDA National Agricultural Statistics Service
[2] Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences
[3] Center for Spatial Information Science and Systems George Mason University
[4] Agricultural and Environmental Informatics Application & Research Center/Faculty of Informatics and Computer Engineering Istanbul Technical University
来源：
JournalofIntegrativeAgriculture | 2017年 / 16卷 / 02期
关键词：
Remote sensing for agricultural applications; MODIS; RUSLE; NDVI; data;
D O I：
暂无
中图分类号：
S127 [遥感技术在农业上的应用];
学科分类号：
082804 ;
摘要：
Agricultural geospatial information is critical for agricultural policy formulation and decision making,land use monitoring,agricultural sustainability,crop acreage and yield estimation,disaster assessment,bioenergy crop inventory,food security policy,environmental assessment,carbon accounting,and other research topics that are of vital importance to agriculture and economy.Remote sensing technology enables us
引用
收藏
页码：239 / 241
页数：3
相关论文
共 50 条
  • [1] Remote sensing for agricultural applications
    Yang, Zhengwei
    Wu Wen-bin
    Di, Liping
    Ustundag, Berk
    JOURNAL OF INTEGRATIVE AGRICULTURE, 2017, 16 (02) : 239 - 241
  • [2] Economic value of remote sensing imagery for agricultural applications
    Wong, FC
    Lao, NY
    2003 IEEE AEROSPACE CONFERENCE PROCEEDINGS, VOLS 1-8, 2003, : 3815 - 3829
  • [3] Agricultural remote sensing big data:Management and applications
    Yanbo Huang
    CHEN Zhong-xin
    YU Tao
    HUANG Xiang-zhi
    GU Xing-fa
    Journal of Integrative Agriculture, 2018, 17 (09) : 1915 - 1931
  • [4] Agricultural remote sensing big data: Management and applications
    Huang, Yanbo
    Chen Zhong-xin
    Yu Tao
    Huang Xiang-zhi
    Gu Xing-fa
    JOURNAL OF INTEGRATIVE AGRICULTURE, 2018, 17 (09) : 1915 - 1931
  • [5] Remote sensing for agricultural applications: A meta-review
    Weiss, M.
    Jacob, F.
    Duveiller, G.
    REMOTE SENSING OF ENVIRONMENT, 2020, 236 (236)
  • [6] LEM+ dataset: For agricultural remote sensing applications
    Oldoni, Lucas Volochen
    Sanches, Ieda Del'Arco
    Picoli, Michelle Cristina A.
    Covre, Renan Moreira
    Fronza, Jose Guilherme
    DATA IN BRIEF, 2020, 33
  • [7] Synergy of optical and radar remote sensing in agricultural applications
    Qi, JG
    Wang, CZ
    Inoue, Y
    Zhang, RD
    Gao, W
    ECOSYSTEMS' DYNAMICS, AGRICULTURAL REMOTE SENSING AND MODELING, AND SITE-SPECIFIC AGRICULTURE, 2003, 5153 : 153 - 158
  • [8] Crop Classification for Agricultural Applications in Hyperspectral Remote Sensing Images
    Agilandeeswari, Loganathan
    Prabukumar, Manoharan
    Radhesyam, Vaddi
    Phaneendra, Kumar L. N. Boggavarapu
    Farhan, Alenizi
    APPLIED SCIENCES-BASEL, 2022, 12 (03):
  • [9] Learning Visual Patterns in Remote Sensing: An Overview of Agricultural Applications
    da Silva, Mateus Pinto
    Schaefer, Mariana A. R.
    Oliveira, Hugo N.
    Reis, Julio C. S.
    Nunes, Ian M.
    dos Santos, Jefersson A.
    2024 37TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES, SIBGRAPI 2024, 2024, : 313 - 318
  • [10] Applications of unmanned aerial vehicle images on agricultural remote sensing monitoring
    Wang, L. (wanglimin01@caas.cn), 1600, Chinese Society of Agricultural Engineering (29):
12345