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

Damen, M. C. J.

Bibliographic data

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:: 856343064

Title:: Remote sensing for resources development and environmental management

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

Scope:: XV, 547 Seiten

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856343064

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,1)

Language:: English

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

Editor:: Damen, M. C. J.

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:: 3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Study on the spectral radiometric characteristics and the spectrum yield model of spring wheat in the field of BeiAn city, HeilonJiang province, China (primary report). Ma-Yanyou, You-Bochung, Guo-Ruikuan, Lin-Weigang & Mo-Hong

Document type:: Multivolume work

Structure type:: Chapter

291 ion »86099, ion of ;nsing )rs its red rig 1(63), colour ng tool Remote er coastal techniques icean i, 194-205. is of oil :. of I ications l-SP 188. location of ;e features ?nsing Geotechnical sing, 26pp. techniques aging, SIRA, Design ial video ng, 51(5), of video 49th Annual .M. 1985. A sment of of plant , 17, al a d ■oc. of the ;uggart, 27pp. ■ience : rom low Remote of Earth ant. a sensing litoring. nsing, age analysis Montreal, a lysis of the 50th . Multiband ts. 9th ishments: ared surveys, ons Dir. 142pp ibsurface water lins in London later, 32pp. Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 Study on the spectral radiometric characteristics and the spectrum yield model of spring wheat in the field of BeiAn city, HeilonJiang province, China (primary report) Ma-Yanyou, You-Bochung, Guo-Ruikuan, Lin-Weigang & Mo-Hong Harbin Remote Sensing Sub-centre of Heilongjiang Academy of Agricultural Sciences, China ABSTRACT: Through the measurements and analysis of the growing condition and the yield of grain in 24 sample- sites located in the field of BeiAn city with the spectral radiometers (WFD9), we have got the result that Spring Wheat possesses most distinguishing features of reflective spectrum like those of other green plants, but it has its own special feature. The curves of spring wheat reflection usually change with its different growing stage and has certain rule of change. The reflective data of the radio between the band 5 and band 7 (MSS) seems to be closely related with the yield by using the method of regression. The results reinforce the potential to us that we can forecast the yield of spring wheat before the harvest with measurements of radio meter . 1. METHODS AND MATERIALS The field experiment was located on the Black earth in BeiAn city (47 40’-48 40’N, 126-127 50’ E) Heilon Jiang Province. According to the historical yield of BeiAn city, the field was divided into two levels of yield: the high yield and the mid yield. A Model "WFD9" radiometer with 16 field of view was used to measure radiances corresponding to the Land- sat MSS band 4, 5, 6, and 7, representing 0.5-0.6, 0.6-0.7, 0.7-0.8 and 0.8-1.1 um wavelenth, respec tively. The reflectances were measured with two radiometers (WFD9) on clear days throughout the growing season of spring wheat. Readings were obtained on 15 days during the growing season. Our original intent was to use the reflectances of spring wheat to establish the spectrumyieId model and attempted to estimate the yield of spring wheat with the measurement of spectral radiometer. 2. RESULTS AND DISCUSSION In table 1, there is no difference in the reflectance tendency of different crops, but in the band 6 or 7, the differnces of reflectances are notable, it approa ched from 13.2% to 41%. see fig.l. In table 2, the difference of reflectance of the variant growing stage of spring wheat also possesses the same rule. The value of difference in the band 7 approached 7.86% to 19.31% On figure 2 and 3, we have found the reflectance can be used to moniter the growing strenth of spring wheat. The reflectance of plants growing well is higher than that of plants growing badly. The difference in band 7 is very significant. The absorp tion of sunshine is lesser and its reflection is greater because the chlorophyll content of plants is lesser at seedling and nodal stage. The absorption and reflection of sunshine are stronger and weaker, respectively, because the chlorophyll content of plants is higher from hesding stage to milky matu rity stage. The reflective data of the ratio between the band 5 and band 7 seem to be closely related with the yield by using the method of regression. We have obtained the primary spectrumyield modal of spring wheat as follows: Y= -567.27 + 974 X (high yield spectrumyield model) R = 0.87 Y= -907.3 + 2485 X (mid yield spectrumyield model) R = 0.93 (note: X = log IR/R) Figure 2. The spectral curves of spring wheat growing well and badly in heading stage.

Access restriction

Copyright

fullscreen: Remote sensing for resources development and environmental management (Volume 1)

Multivolume work

Volume

Chapter

Chapter

Table of contents

Cite and reuse

Volume

Chapter

Image

Image fragment

Citation links

Citation recommendation