The remote sensing based hungarian crop production forecast program (Cropmon) and its other applications

Lecture Notes in Geoinformation and Cartography

Volumn 0, Issue , 2010, Pages 457-471

  Suba, Zsuzsanna ^a   Csornai, Gábor ^a   Wirnhardt, Csaba ^a   Nádor, Gizella ^a   Tikász, László ^a   Martinovich, László ^a   Kocsis, Attila ^a   Zelei, Gyula ^a   László, István ^a   Bognár, Erika ^a  

^a Foldmeresi es Taverzekelesi Intezet Budapest   (Hungary)

Author keywords

Crop monitoring; Drought monitoring; Flood and waterlog monitoring; GPS technology; Production forecast; Ragweed monitoring and control; Remote sensing and GIS methods; Subsidy control

Indexed keywords

APPLICATION PROGRAMS; CROPS; CULTIVATION; DROUGHT; FLOODS; FORECASTING; GEOGRAPHIC INFORMATION SYSTEMS; LANDSAT;

CROP MONITORING; DROUGHT MONITORING; FLOOD AND WATERLOG MONITORING; GPS TECHNOLOGIES; MONITORING AND CONTROL; PRODUCTION FORECASTS; RAGWEED MONITORING AND CONTROL; REMOTE SENSING AND GIS; REMOTE SENSING AND GIS METHOD; SUBSIDY CONTROL;

REMOTE SENSING;

EID: 84941141654     PISSN: 18632246     EISSN: 18632351     Source Type: Book Series    
DOI: 10.1007/978-3-642-03294-3_29     Document Type: Conference Paper

References (13)

1. Büttner G, Csató É, Maucha G (1995) The CORINE Land Cover-Hungary Project, GIS/ LIS’95 Central Europe, Budapest, Hungary, 12–16 June
2. Csornai G, Dalia O, Gothár Á, Vámosi J (1983) Classification Method and Automated Result Testing Techniques for Differentiating Crop Types, Proc Machine Processing of Remotely Sensed Data, West Lafayette, USA
3. Csornai G, Dalia O, Farkasfaly J, Vámosi J, Nádor G (1988) Regional Vegetation Assessment Using Landsat Data and Digital Image Analysis, Proc 5th Symp ISSS Working Group Remote Sensing, Budapest, pp 123–128
4. Csornai G, Dalia O, Farkasfaly J, Nádor G (1990) Crop Inventory Studies Using Landsat Data on Large Area in Hungary, Applications of Remote Sensing Agriculture, Butterworths, pp 159–165
5. Csornai G (1996) Towards a Remote Sensing Based Crop Monitoring System in Hungary. MERA 1994–96 Results Conference, Bratislava, 10–11 December
6. Csornai G (1997) Towards a satellite based national monitoring system in Hungary, Eurisy Colloquium, Budapest, Hungary, 15–16 May
7. Csornai G (1998) Remote sensing based crop monitoring in Hungary, Proc. of ISPRS Commission VII Symposium – Resource and Environment Monitoring, VOL. XXXII. Part 7, pp 108–113, Budapest, Hungary, 1–4 September
8. Csornai G, Suba Z, Nádor G, Csekő Á, Wirnhardt C, Tikász L, Martinovich L (2004) Evaluation of a remote sensing based regional flood/waterlog and drought monitoring model utilizing multi-source satellite data set including ENVISAT data, ESA ENVISAT & ERS Symposium, Salzburg, 6–10 September
9. Csornai G, László I, Suba Z, Nádor G, Bognár E, Hubik I, Wirnhardt C, Zelei G, Tikász L, Kocsis A, Mikus G (2006) The integrated utilization of satellite images in Hungary: operational applications from crop monitoring to ragweed control. – 26th Annual Symposium of the European Association of Remote Sensing Laboratories (EARSeL), Warsaw, Poland, 29 May – 2 June
10. Csornai G, Suba Z, Nádor G, László I, Wirnhardt C (2007) Disaster monitoring with the integrated utilization of ENVISAT and other satellite data sets in the 2004–2006 period in Hungary, ESA ENVISAT Symposium, Montreux, 23–27, April
11. Lelkes M, Csornai G, Wirnhardt C (2001) Natural disaster monitoring by remote sensing in Hungary: waterlogging and floods in the 1998–2001 period 21st EARSeL Symp, Observing our environment from space/new solutions for a new millennium, Paris, 14–16 May
12. Puyou Lascassies P, Podaire A, Gay M (1994) Extracting Crop Radiometric Responses from Simulated Low and High Spatial Resolution Satellite Data Using a Linear Mixing Model: Int J of Remote Sensing, Vol 15, no 18, pp 3767–3784
13. Suba Z, Nádor G, Csornai G, László I, Wirnhardt C (2008) Drought monitoring with the integrated utilization of satellite images in Hungary. 28th Annual Symposium of the European Association of Remote Sensing Laboratories (EARSeL), Istanbul, June