Special UNISPACE III volume

Marsteller, Deborah

Bibliographic data

Monograph

Persistent identifier:: 856485039

Author:: Marsteller, Deborah

Title:: Special UNISPACE III volume

Sub title:: including: ISPRS Workshop on "Resource Mapping from Space", ISPRS-EARSeL Workshop on "Remote Sensing for the Detection, Monitoring and Mitigation of Natural Disasters", ISPRS-NASA Seminar on "Environment and Remote Sensing for Sustainable Development", July 1999, Vienna, Austria

Scope:: IV, 170 Seiten

Year of publication:: 1999

Place of publication:: Coventry

Publisher of the original:: RICS Books

Identifier (digital):: 856485039

Illustration:: Illustrationen, Diagramme, Karten

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: ISPRS Workshop on "Resource Mapping from Space"

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: SATELLITE REMOTE SENSING APPLICATION IN AGRICULTURECROP MONITORING, YIELD FORESCASTING AND ESTIMATION. Cs. Ferencz, J. Lichtenberger, D. Hamar and P. Bognár

Document type:: Monograph

Structure type:: Chapter

International Archives of Photogrammetry and Remote Sensing. Vol. XXXII Part 7C2, UNISPACE El, Vienna, 1999 52 I5PR5 UNISPACE III - ISPRS Workshop on “Resource Mapping from Space” 9:00 am -12:00 pm, 22 July 1999, VIC Room B Vienna, Austria /-?m\ ISPRS SATELLITE REMOTE SENSING APPLICATION IN AGRICULTURE- CROP MONITORING, YIELD FORESCASTING AND ESTIMATION Cs. Ferencz, J. Lichtenberger, D. Hamar and P. Bognâr Space Research Group, Department of Geophysics, Eôtvôs University, Budapest, Hungaiy H-l 117 Budapest, Pâzmâny Péter sétâny 1/A. (H-1518 Budapest, Pf.32., Hungary). Tel: +36-1-372-2906, fax: +36-1-372-2927, E-mail: spacerg@sas.elte.hu ABSTRACT Crop monitoring, yield estimation and forecast are widely considered as a matter of strategic importance. This is particularly true for developing countries, where a cheap, effective and easily adaptable yield forecasting/estimating procedure for county/country level essential. A method based on satellite data that fulfill this criteria is presented beside a high resolution method that can supply regional/field data and the calibration of the basic method. The basic, i.e. robust method is based on low resolution (NOAA AVHRR) data. The benefit of using AVHRR data is its daily availability and low/no cost. The method of calibration use is based on Landsat TM data too. The procedures consists of the following main steps: □ preprocessing of raw satellite data: geometric and atmospheric correction, □ development of calibration functions (i.e. crop filters) only' one times for a given crop, □ calculation of special agricultural RS indeces for the given application, stress or disaster detection, □ forecasting and final estimation of crop yields. The results of tlie application of this method confirms of tire reliability, operational applicability and cheapness of tins procedures, which are important for the developing countries. 1. INTRODUCTION As it is well known the main application fields of satellite remote sensing (RS) □ e.g. Avenasov, 1996 □ are the followings: meteorology; agriculture, investigation of canopy and soil; water, It is clear that the complex agricultural applications of satellite remote sensing (RS) use not only the agricultural canopy and soil investigations □ e.g. local, regional and global monitoring of canopy, soil, soil moisture and soil degradation □, however, they use other RS applications too, as environmental monitoring, meteorology and global changes, canopy-, crop- and land use mapping. This new data set could be an integrated part of GIS and can change the future agriculture, improve the stability of supply and trade. In the present □ and in the near future too □ an important parameter of applications is the necessary on-surface resolution of the used satellite data. The low resolution lias some inherent limitations parallel to high temporal sampling rate (e.g. 12-24 hours sampling time) and large surface coverage. The low resolution data mass using in procedures is not too big, therefore the necessary computing capacity and the costs are not too high. The high resolution data have possibilities in investigations on single field levels parallel to low temporal sampling rates (e.g. few days ~ few weeks) and not too large surface coverage. The high resolution data mass is big, the necessary computing capacity and the costs increase. ice and ocean research and application; geology; mapping, geodesy, production of up-to-date maps; state administration, settlement management, land use, monitoring and protection of environment etc.; defence, security' and reconnaissance; global changes (Myneni et al, 1997); others, as e.g. archaeology. In the following let the low resolution (l.r.) data cca. 1 □ 1 km 2 or nGn km 2 (n<10) be, the high resolution (h_r.) data cca. kDk m 2 (l<k<100). The main fields of applications: a) Crop production: □ Land use, acreage determination and mapping □ (mainly h.r. data). The accuracy of this application is veiy high, it is tlie same or in the most cases better than the accuracy of the classical methods (e.g. questionnaire). Besides this the remote sensing method is very' fast, can produce early actual land use picture to the administration, and cheaper than the classical ones. □ Monitoring of plougliing and liarvesting □ (h.r. data). □ Monitoring of local stress-effects (disease, flood, drought etc.) □ (h.r. and l.r. data too). The Fig. 1. presents the AVHRR greenness (GN) □ Ferencz et al, 1993 □ temporal data of the same big com field in Hungaiy in normal (1991) and drought (1992,1993) years. (DO Y is Day Of the Year.) The effect of drought is remarkably on the temporal profiles. □ Monitoring of regional stress effects □ (l.r. data). On Fig. 2. regional differences of the effect of drought on county-average

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