UAV remote sensing capability for precision agriculture, forestry and small natural reservation monitoring

被引：3
|
作者：
Sedina, Jaroslav [1 ]
Pavelka, Karel [1 ]
Raeva, Paulina [1 ]
机构：
[1] Czech Tech Univ, Fac Civil Engn, Dept Geomat, Thakurova 7-2077, Prague 16629 6, Czech Republic
来源：
HYPERSPECTRAL IMAGING SENSORS: INNOVATIVE APPLICATIONS AND SENSOR STANDARDS 2017 | 2017年 / 10213卷
关键词：
RPAS; NDVI; crop monitoring; biosphere monitoring; photogrammetry; UNMANNED AERIAL VEHICLE; RPAS; CADASTRE; SYSTEMS;
D O I：
10.1117/12.2267858
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
For ecologically valuable areas monitoring, precise agriculture and forestry, thematic maps or small GIS are needed. Remotely Piloted Aircraft Systems (RPAS) data can be obtained on demand in a short time with cm resolution. Data collection is environmentally friendly and low-cost from an economical point of view. This contribution is focused on using eBee drone for mapping or monitoring national natural reserve which is not opened to public and partly pure inaccessible because its moorland nature. Based on a new equipment (thermal imager, multispectral imager, NIR, NIR red-edge and VIS camera) we started new projects in precise agriculture and forestry.
引用
收藏
页数：12
相关论文
共 50 条
  • [31] Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture
    Maes, Wouter H.
    Steppe, Kathy
    [J]. TRENDS IN PLANT SCIENCE, 2019, 24 (02) : 152 - 164
  • [32] Remote sensing applications for precision agriculture: A learning community approach
    Seelan, SK
    Laguette, S
    Casady, GM
    Seielstad, GA
    [J]. REMOTE SENSING OF ENVIRONMENT, 2003, 88 (1-2) : 157 - 169
  • [33] A review of remote sensing for potato traits characterization in precision agriculture
    Sun, Chen
    Zhou, Jing
    Ma, Yuchi
    Xu, Yijia
    Pan, Bin
    Zhang, Zhou
    [J]. FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [34] Remote Sensing with Unmanned Aircraft Systems for Precision Agriculture Applications
    Hunt, E. Raymond, Jr.
    Daughtry, Craig S. T.
    Mirsky, Steven B.
    Hively, W. Dean
    [J]. 2013 SECOND INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS), 2013, : 131 - 134
  • [35] Precision agriculture: New developments and needs in remote sensing and technologies
    Robert, PC
    [J]. ECOSYSTEMS' DYNAMICS, AGRICULTURAL REMOTE SENSING AND MODELING, AND SITE-SPECIFIC AGRICULTURE, 2003, 5153 : 85 - 94
  • [36] The efficiency of an Automated Centralized Remote Monitoring System (ACRMS) for precision forestry
    Yusoff, Amri
    Shafiril, Shahrizuan
    Abas, Ashardi
    Yusoff, Norma Che
    [J]. 2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC), 2016,
  • [37] Advanced UAV-WSN System for Intelligent Monitoring in Precision Agriculture
    Popescu, Dan
    Stoican, Florin
    Stamatescu, Grigore
    Ichim, Loretta
    Dragana, Cristian
    [J]. SENSORS, 2020, 20 (03)
  • [38] UAV Low-Altitude Remote Sensing for Precision Weed Management
    Huang, Yanbo
    Reddy, Krishna N.
    Fletcher, Reginald S.
    Pennington, Dean
    [J]. WEED TECHNOLOGY, 2018, 32 (01) : 2 - 6
  • [39] Intercomparison of UAV, Aircraft and Satellite Remote Sensing Platforms for Precision Viticulture
    Matese, Alessandro
    Toscano, Piero
    Di Gennaro, Salvatore Filippo
    Genesio, Lorenzo
    Vaccari, Francesco Primo
    Primicerio, Jacopo
    Belli, Claudio
    Zaldei, Alessandro
    Bianconi, Roberto
    Gioli, Beniamino
    [J]. REMOTE SENSING, 2015, 7 (03): : 2971 - 2990
  • [40] Monitoring and zoning soybean maturity using UAV remote sensing
    Shi, Wenqiang
    Li, Yuhao
    Zhang, Wei
    Yu, Chuntao
    Zhao, Chen
    Qiu, Jinkai
    [J]. Industrial Crops and Products, 2024, 222
12345