Detection of crop rotation using satellite remote sensing for nutrient balance models and risk assessment

被引：0
|
作者：
Raupenstrauch, JD [1 ]
Selige, TM [1 ]
机构：
[1] GSF, Natl Res Ctr Environm & Hlth, Neuherberg, Germany
来源：
FUTURE TRENDS IN REMOTE SENSING | 1998年
关键词：
D O I：
暂无
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
This paper presents the application of satellite remote sensing to detect crop rotation and changes of land use systems. Annual monitoring and crop classification will be used to calculate the nutrient balance on field level. To avoid ecological risks it is necesary to calculate nutrient balance in consideration to landscape properties. Therefore, it will be shown how satellite remote sensing can improve risk assessment of enlarged regions, when it is interpreted with a balance model using GIS. The results of balance models supported by remote sensed imagery gives a spatial base to land information and planning systems on regional scale.
引用
收藏
页码：139 / +
页数：6
相关论文
共 50 条
  • [21] INTEGRATED SATELLITE REMOTE SENSING AND GEOSPATIAL ANALYSIS FOR TSUNAMI RISK ASSESSMENT
    Sambah, Abu Bakar
    Miura, Fusanori
    Guntur
    Fuad
    INTERNATIONAL JOURNAL OF GEOMATE, 2018, 14 (44): : 96 - 101
  • [22] Estimating the Crop Acreage of Menthol Mint Crop from Remote Sensing Satellite Imagery Using ANN
    Babu, Jampani Satish
    Ch, Smitha Chowdary
    Bhattacharyya, Debnath
    Byun, Yungcheol
    AGRONOMY-BASEL, 2023, 13 (04):
  • [23] Contribution of Remote Sensing on Crop Models: A Review
    Kasampalis, Dimitrios A.
    Alexandridis, Thomas K.
    Deva, Chetan
    Challinor, Andrew
    Moshou, Dimitrios
    Zalidis, Georgios
    JOURNAL OF IMAGING, 2018, 4 (04)
  • [24] Root Zone Soil Moisture Assessment at the Farm Scale Using Remote Sensing and Water Balance Models
    Supriyasilp, Thanaporn
    Suwanlertcharoen, Teerawat
    Pongput, Nudnicha
    Pongput, Kobkiat
    SUSTAINABILITY, 2022, 14 (03)
  • [25] Assessment of crop water requirement of maize using remote sensing and GIS
    Parmar, Sanjay H.
    Patel, G. R.
    Tiwari, M. K.
    SMART AGRICULTURAL TECHNOLOGY, 2023, 4
  • [26] Assessment of Crop Water Requirement of Maize Using Remote Sensing and GIS
    Parmar, Sanjay H.
    Tiwari, Mukesh K.
    Patel, Gautam R.
    SSRN, 2022,
  • [27] UAV Remote Sensing Assessment of Crop Growth
    Dorbu, Freda Elikem
    Hashemi-Beni, Leila
    Karimoddini, Ali
    Shahbazi, Abolghasem
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2021, 87 (12): : 891 - 899
  • [28] Crop yield assessment from remote sensing
    Doraiswamy, PC
    Moulin, S
    Cook, PW
    Stern, A
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2003, 69 (06): : 665 - 674
  • [29] Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index
    Reyes-Gonzalez, Arturo
    Kjaersgaard, Jeppe
    Trooien, Todd
    Hay, Christopher
    Ahiablame, Laurent
    ADVANCES IN METEOROLOGY, 2018, 2018
  • [30] DESERT ECOSYSTEMS: MAPPING, MONITORING & ASSESSMENT USING SATELLITE REMOTE SENSING
    Arya, A. S.
    Ajai
    Dhinwa, P. S.
    Arya, V. S.
    Hooda, R. S.
    ISPRS BHOPAL 2011 WORKSHOP EARTH OBSERVATION FOR TERRESTRIAL ECOSYSTEM, 2011, 38-8 (W20): : 170 - 174
12345