Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

damen, m. c. j.

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Multivolume work

Persistent identifier:: 856342815

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856342815

Language:: English

Additional Notes:: Volume 1-3 erschienen von 1986-1988

Editor:: Damen, M. C. J.

Document type:: Multivolume work

Volume

Persistent identifier:: 856641294

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Scope:: IX Seiten, Seiten 551-956

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A,. A. Balkema

Identifier (digital):: 856641294

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,2)

Language:: English

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

Editor:: Damen, M. C. J.

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

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:: Volume

Collection:: Earth sciences

Chapter

Title:: 8 Geo-information systems. Chairman: J. J. Nossin

Write comment:: Wegen zu enger Bindung kommt es teilweise im Original zu Textverlust.

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: The CRIES Resource Information System: Computer-aided spatial analysis of resource development potential and development policy alternatives. Gerhardus Schultink

Document type:: Multivolume work

Structure type:: Chapter

938 Table 4. CRI ES-AIS-YIELD model, Example of Phase IV Output tltU GENERATOR «KIES - «IS - TIELDl MCHiGAM STATE WIVESSITT, EAST LAKSING, «1 «823 Phase IV output calculates the estimated yield based on moisture availability for user-specified increments during the cropping cycle. Syrrif Soils couNTiv «wci janaica POL./**. DISTRICT: ST. OMSK IttTMER STATION NNC> WORTHY PNK «SOURCE PROO UNIT OR Awo-ecaiûGic/L me- 11 CHOP TY9£i YEAR OF ORIGIN! OR0ШН PERIOD: РЙОО POTWTIAL bWTi TO0ACO) LATITUDE! 1981 I SPHERE : 2/15/1901 TO VIS/1901 AWERAGE ALTITUDE: 1.12 TIIC INCRBGfTS MTU 18.01 < ^*9 ) NORTHERN 99.06(a) 3 PHASE 4> CALCULATION OF ESTIMATED YIELD (V«) T HTH/WY MU EWT(ET.) ACT EVAPT(ET»> YU AESP FACTOR CHANGE P YIEU CHANGE E YIELD CUT* YIELD (Y«) (•AYS) (aa/tfT) <«/4T) <ky) (kf/U) <kg/h*) (kg/k«) 3 2/15 7.04 7.04 10 2/20 7.10 7.10 15 2/25 7.16 7.16 20 3/ 2 15.47 15.46 25 3/ 7 15.39 15.59 30 3/12 15.72 15.71 35 3/17 15.73 15.73 40 3/22 15.68 15.68 45 3/27 22.90 20.11 50 4/ 1 22.80 19.84 55 4/ 6 22.71 19.57 60 4/11 22.60 19.30 65 4/16 22.70 22.23 70 4/21 22.94 22.95 75 4/26 20.01 20.01 80 3/ 1 20.22 20.22 85 V 6 20.43 20.43 90 3/11 20.64 20.64 .15 161.50 .13 164.02 .15 166.54 .00 169.07 .00 171.61 .00 174.15 .00 175.14 .00 175.12 .50 175.11 .50 175.11 .30 175.12 .50 175.14 .50 175.91 .50 177.16 .50 178.42 .30 179.67 .50 180.94 .50 182.20 161.50 162. 164.02 -526. 166.54 492. 169.07 661. 171.61 833. 174.15 1007. 175.14 1182. 175.12 1357. 164.44 1522. 163.74 1685. 163.01 1848. 162.35 2011. 174.09 2185. 177.16 2362. 178.42 2540. 179.67 2720. ltO.94 2901. 182.20 ЗОЮ. TOTAL 3083. Estimates can be provided for a "standard year" calculated from time series data and monthly means or for a single year and compared with observed yields. This last capability is especially useful in comparing the predictive ability of the yield model for selected agro-eco1ogica 1 conditions or representative farming systems. As an example, a comparison is provided between estimated and reported yield for sugar cane over the time period 1965 - 1981 for a s e1e cted sugar estate in St. Catherine Parish, Jamaica (Figure 6). The reported low in 1977 is the result of harvesting problems experienced during that year. 7. REFERENCES Doorenbos J. and A.H. Kassam, 1979. Yield Response to Water. FAO Irrigation and Drainage Paper # 33, FAO, Rome. Etherington, D. and P. Matthews, 1985. MULBUD User's Manual, National Centre for Development Studies, Australian National University. Power P. et al., 1 9 85 . MSTAT, A Micro computer Program for the Design, Management, and Analysis of Agronomic Research Experiments. Michigan State University, East Lansing, Michigan. Schultink G. et al., 1986. User's Guide to the CRIES Geographic Information System - Version 6.0, CRIES project, Michigan State University, East Lansing, Michigan. Jama1ca/St. Catherine/Worthy Park Sugar Cane Performance 1963 - 1982 Figure 6. Graphic Comparison of Predicted (CRIES-AIS-YIELD) and Observed Sugar Cane Production for the Period I960 - 198? in Worthy Park Sugar Estate, St. Catherine Parish, Jamaica. 6. SELECTED EXAMPLES OF CRIES-AIS-YIELD To introduce users to YIELD model which can be employed in quantitative land evaluation studies, selected outputs are provided, using data from Jamaica. First of all, output is provided of a yield simulation for two commodities grown in close proximity to the Worthy Park weather station (Tables 3 and 4). Phase I output indicates the format of maximum potential yield based on genetic crop production potential without input and management constraints. infoi Carlos Purdue * Preseì ABSTRAC' accurati accessil The di se of i The Ii project: the dig: coding i digital drainagi 1 GENER, The com informa and dis has led applica resourc cated i Ef fee is depe phic ha form th tool fo mation data of digital ted dat tial in val, ma (Tom an et al., A dig compute analyse te info techniq range o advance nalysis has bee cessibi develop systems ble sou and an ning th decisio 1981; S A dig its pri referen major p compute perform put, b) lation, Knapp, ' Marble lenzuel

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