本文關(guān)鍵詞： 遙感物候產(chǎn)品 生長(zhǎng)起點(diǎn) 生長(zhǎng)終點(diǎn) 驗(yàn)證 黑河流域　出處：《遙感學(xué)報(bào)》2017年03期 　論文類(lèi)型：期刊論文

【摘要】：植被物候遙感產(chǎn)品對(duì)全球變化響應(yīng)、農(nóng)業(yè)生產(chǎn)管理、生態(tài)學(xué)的應(yīng)用等多領(lǐng)域研究具有重要意義。但現(xiàn)有植被物候遙感產(chǎn)品還有較多問(wèn)題,主要包括一方面使用不同參數(shù)的時(shí)間序列數(shù)據(jù)以及不同提取算法導(dǎo)致的產(chǎn)品結(jié)果差異較大,另一方面在地面驗(yàn)證中地面觀(guān)測(cè)數(shù)據(jù)與遙感反演數(shù)據(jù)的物理含義不一致導(dǎo)致的驗(yàn)證方法的系統(tǒng)性誤差。本文以黑河流域?yàn)檠芯繀^(qū),對(duì)比驗(yàn)證基于EVI(Enhanced Vegetation Index)時(shí)間序列數(shù)據(jù)提取的MLCD(MODIS global land cover dynamics product)植被遙感物候產(chǎn)品和基于LAI(Leaf Area Index)時(shí)間序列數(shù)據(jù)提取的UMPM(product by universal multi-life-cycle phenology monitoring method)植被遙感物候產(chǎn)品的有效性及精度等。同時(shí),通過(guò)驗(yàn)證分析進(jìn)一步評(píng)估基于EVI和LAI時(shí)間序列提取的物候特征的差異及特點(diǎn),探討由于地面觀(guān)測(cè)植被物候與遙感提取植被物候的物理意義的不一致問(wèn)題導(dǎo)致的直接驗(yàn)證結(jié)果偏差。結(jié)果表明:UMPM產(chǎn)品有效性整體高于MLCD產(chǎn)品,但在以草地和灌木為主的稀疏植被區(qū),由于LAI取值精度的原因,UMPM產(chǎn)品存在較多缺失數(shù)據(jù),且時(shí)空穩(wěn)定性較低;基于玉米地面觀(guān)測(cè)數(shù)據(jù)表明,EVI對(duì)植被開(kāi)始生長(zhǎng)的信號(hào)比LAI更加敏感,更適合提取生長(zhǎng)起點(diǎn),但植被指數(shù)易飽和,峰值起點(diǎn)普遍提前,基于LAI提取的峰值起點(diǎn)更加合理。由于地面觀(guān)測(cè)的物候期在后期更加關(guān)注果實(shí)生長(zhǎng),遙感觀(guān)測(cè)僅關(guān)注葉片的生長(zhǎng),遙感定義的峰值終點(diǎn)和生長(zhǎng)終點(diǎn)與玉米的乳熟期和成熟期差異較大。
[Abstract]:Vegetation phenological remote sensing products are of great significance in response to global change, agricultural production management, application of ecology and other fields, but there are still many problems in existing vegetation phenological remote sensing products. It mainly includes on the one hand using different parameters of time series data and different extraction algorithms led to greater differences in product results. On the other hand, the systematic error of the verification method caused by the discrepancy between the physical meaning of the ground observation data and the remote sensing inversion data in the ground validation. This paper takes the Heihe River Basin as the study area. Compare and verify MLCD-based time series data extraction based on EVI(Enhanced Vegetation Index. MODIS global land cover dynamics product) vegetation remote sensing phenological products and based on Lai (. UMPM (UMPM) for extracting time Series data from Leaf Area Index. Product by universal multi-life-cycle phenology monitoring method. The validity and precision of vegetation remote sensing phenological products. The differences and characteristics of phenological features extracted based on EVI and LAI time series were further evaluated by validation analysis. This paper discusses the deviation of direct verification result caused by the discrepancy between the physical meaning of ground observation vegetation phenology and remote sensing extraction of vegetation phenology. The result shows that the validity of MLCD product is higher than that of MLCD product. However, in the sparse vegetation area with grassland and shrubs, there are many missing data and low spatiotemporal stability due to the accuracy of LAI values. Based on the ground observation data of maize, it shows that EVI is more sensitive to the signal of vegetation growth than LAI, and is more suitable for extracting the growth starting point, but the vegetation index is easy to saturation, and the peak value is generally ahead of time. The peak value based on LAI extraction is more reasonable. Since the phenological period of surface observation is more concerned with fruit growth in the later period, remote sensing observation only focuses on the growth of leaves. The peak end point and growth end point of remote sensing definition are different from the milking stage and mature stage of maize.
【作者單位】： 中國(guó)科學(xué)院遙感與數(shù)字地球研究所遙感科學(xué)國(guó)家重點(diǎn)實(shí)驗(yàn)室;中國(guó)科學(xué)院大學(xué);
【基金】：國(guó)家自然科學(xué)基金(編號(hào):41271366) 國(guó)家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃(973計(jì)劃)(編號(hào):2013CB733401)~~
【分類(lèi)號(hào)】：S127;TP79
【正文快照】： 引用格式:王聰,李靜,柳欽火,柏軍華,徐保東,趙靜,曾也魯.2017.黑河流域遙感物候產(chǎn)品驗(yàn)證與分析.遙感學(xué)報(bào),21(3):442 457Wang C,Li J,Liu Q H,Bai J H,Xu B D,Zhao J and Zeng Y L.2017.Validation and analysis of remote sensingphenology products in the Heihe River Basi

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