黑土區(qū)田塊尺度遙感精準(zhǔn)管理分區(qū)
發(fā)布時間：2018-01-06 06:25
本文關(guān)鍵詞：黑土區(qū)田塊尺度遙感精準(zhǔn)管理分區(qū) 出處：《遙感學(xué)報》2017年03期 論文類型：期刊論文
更多相關(guān)文章： 裸土 遙感影像 精準(zhǔn)管理分區(qū) 面向?qū)ο?/b> 精準(zhǔn)農(nóng)業(yè)
【摘要】：基于格網(wǎng)采樣與空間插值的精準(zhǔn)管理分區(qū)方法精度高,但時效性差、成本高。本文以東北農(nóng)墾地區(qū)紅星農(nóng)場農(nóng)田為研究對象,提出一種基于遙感影像的精準(zhǔn)管理分區(qū)方法:以裸土高空間分辨率遙感影像作為數(shù)據(jù)源,結(jié)合田間格網(wǎng)采樣數(shù)據(jù),基于裸土反射光譜特征與黑土主要理化性質(zhì)的顯著相關(guān)關(guān)系,運用面向?qū)ο蠓指睢⒖臻g統(tǒng)計分析方法,對典型黑土區(qū)田塊進(jìn)行精準(zhǔn)管理分區(qū)研究,并利用土壤理化性質(zhì)和農(nóng)作物生理參數(shù),對分區(qū)結(jié)果進(jìn)行評價。得出如下結(jié)論:(1)典型黑土區(qū)田塊內(nèi)部土壤養(yǎng)分含量空間變異顯著;(2)基于裸土影像與面向?qū)ο蟮木珳?zhǔn)管理分區(qū)方法精度高,增強了分區(qū)之間的土壤養(yǎng)分與歸一化植被指數(shù)(NDVI)差異性、分區(qū)內(nèi)部各屬性的一致性;(3)基于2015年4月1日和2015年5月20日單期影像分區(qū)和兩期影像波段疊加(Layer stacking)分區(qū),區(qū)間變異系數(shù)與區(qū)內(nèi)變異系數(shù)之比分別為1.42、1.39和7.63,基于兩期影像綜合信息的分區(qū)結(jié)果顯著優(yōu)于基于單期影像分區(qū);(4)基于裸土影像面向?qū)ο蠓指畹木珳?zhǔn)管理分區(qū)方法時效性強、成本低、精度高。研究成果為田間變量施肥、發(fā)展精準(zhǔn)農(nóng)業(yè)、實現(xiàn)農(nóng)業(yè)可持續(xù)發(fā)展提供依據(jù)。
[Abstract]:The precision management zoning method based on grid sampling and spatial interpolation has high precision but low timeliness and high cost. In this paper, a method of accurate management and partition based on remote sensing image is proposed. The high spatial resolution remote sensing image of bare soil is used as the data source, and the sampling data of field grid is combined. Based on the significant correlation between the reflectance spectrum characteristics of bare soil and the main physical and chemical properties of black soil, the method of object oriented segmentation and spatial statistical analysis was used to study the precision management zoning of typical black soil area. The physical and chemical properties of soil and the physiological parameters of crops were used to evaluate the results of the zonation. The conclusion is as follows: (1) the spatial variation of soil nutrient content in the typical black soil area is significant; (2) the precision management method based on bare soil image and object-oriented method has high precision, which enhances the difference between soil nutrient and normalized vegetation index (NDVI), and the consistency of each attribute within the zone; (3) based on the single-phase image partition on April 1st 2015 and May 20th 2015 and the two-phase image band superposition layer stackingpartition. The ratio of the interval coefficient of variation to the coefficient of variation in the region is 1.42 and 7.63, respectively. The partition results based on the comprehensive information of the two periods are significantly better than those based on the single phase image. 4) the precision management partition method based on the object oriented segmentation of bare soil image has the advantages of high efficiency, low cost and high precision. The research results provide the basis for the field variable fertilization, the development of precision agriculture and the realization of the sustainable development of agriculture.
【作者單位】： 東北農(nóng)業(yè)大學(xué)資源與環(huán)境學(xué)院;
【基金】：國家自然科學(xué)基金(編號:41501357) 黑龍江省普通高等學(xué)校新世紀(jì)優(yōu)秀人才培養(yǎng)計劃(編號:1254-NCET-002) 黑龍江省教育廳科學(xué)技術(shù)研究項目(編號:11551038)~~
【分類號】：S127;TP751
【正文快照】： 引用格式:劉煥軍,邱政超,孟令華,付強,姜佰文,閆巖,徐夢園.2017.黑土區(qū)田塊尺度遙感精準(zhǔn)管理分區(qū).遙感學(xué)報,21(3):470 478Liu H J,Qiu Z C,Meng L H,Fu Q,Jiang B W,Yan Y and Xu M Y.2017.Site-specific management zone of fieldscale based on remote sensing image in a
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