INTEGRATION OF REMOTE-SENSING DATA IN THE SIMULATION OF SPATIALLY-VARIABLE YIELD OF POTATOES

被引:14
作者
FINKE, PA
机构
来源
SOIL TECHNOLOGY | 1992年 / 5卷 / 03期
关键词
D O I
10.1016/0933-3630(92)90026-W
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Field scale variation of final potato tuber yields was measured on 36 plots of 4.5*4.5 sq. meters. The average yield was 9014 kg dry matter/ha, and the co-efficient of variation was 10.4%. A model was developed that simulates tuber dry matter production as a function of radiation and of water- and Nitrogen availability. Water flow and Nitrogen fate were simulated satisfactory. The model was sensitive to changes of the Leaf Area Index (LAI) during the growing season. If LAI, measured by a remote sensing technique at 5 dates and 76 locations, was used for input to the model, 39.2% of the variance of measured final yields could be explained by the simulated final yields. Significantly different average yields were measured and simulated between two soil units present in the field. Simulations proved, that the spatial variation in final dry matter yields was largely caused by variability of moisture availability. Integration of remote sensed LAI into a model allows the identification of stress factors during the growing season, and their spatial coordinates, which can be used for location-specific land management.
引用
收藏
页码:257 / 270
页数:14
相关论文
共 21 条
[1]  
Aase, Siddoway, Millard, Spring wheat leaf phytomass and yield estimates from airborne scanner and handheld radiometer measurements, Int. J. Rem. Sens., 5, pp. 771-781, (1984)
[2]  
Belmans, Wesseling, Feddes, Simulation model of the water balance of a cropped soil: SWARTRE, Journal of Hydrology, 63, 3-4, pp. 271-286, (1983)
[3]  
Bresler, Dagan, Variability of an irrigated crop and its causes. 1. Statement of the problem and methodology, Water Res. Research, 24, 3, pp. 381-387, (1988)
[4]  
Bresler, Dagan, Variability of an irrigated crop and its causes. 2. Input data and illustration of results, Water Res. Research, 24, 3, pp. 389-394, (1988)
[5]  
Clevers, Aplication of remote sensing to agricultural field trials, Thesis, Agricultural University Wageningen Papers, 86–84, (1986)
[6]  
Colwell, Manual of remote sensing, (1983)
[7]  
Dagan, Bresler, Variability of an irrigated crop and its causes. 3. Numerical simulation and field results, Water Res. Research, 24, 3, pp. 395-401, (1988)
[8]  
Feddes, De Graaf, Bouma, Van Loon, Simulation of water use and production of potatoes as affected by soil compaction, Potato Research, 31, pp. 225-239, (1988)
[9]  
Finke, Soil survey to obtain basic simulation data for a heterogeneous field with stratified marine soils, Soil and groundwater research report II “nitrate in soils” EUR 13501 EN, pp. 26-41, (1991)
[10]  
Finke, Bouma, Stein, Measuring field variability of disturbed soils for simulation purposes, Soil Sci. Soc. Am. J., 56, 1, pp. 187-192, (1992)