Estimating the Leaf Area Index, height and biomass of maize using HJ-1 and RADARSAT-2

Author(s): Gao, S (Gao, Shuai)[ 1 ] ; Niu, Z (Niu, Zheng)[ 1 ] ; Huang, N (Huang, Ni)[ 1,2 ] ; Hou, XH (Hou, Xuehui)[ 1,2 ]

Source: INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION  Volume: 24   Pages: 1-8   DOI: 10.1016/j.jag.2013.02.002   Published: OCT 2013

Times Cited: 0 (from Web of Science)

Cited References: 33      [ view related records ]     Citation Map    

Abstract: New optical and microwave integrated vegetation indices (VIs) were designed based on observations from both field experiments and satellite (HJ-1 and RADARSAT-2) data. It was found that these VIs perform better in estimating the structure parameters of maize, such as Leaf Area Index (LAI), height and biomass, than the original ones. This investigation focused on the difference of interaction between the multispectral reflectance and microwave backscattering signatures with the maize growth variables. Because the maize was near the heading stage with large vegetation coverage in the experiment, the reflectance of the near-infrared band of HJ-1 was much less sensitive to the structure variables than that of the visible-light band. Thus, the optical VIs formulated using those bands were saturated to estimate the structure parameters. With respect to the RADARSAT-2 data, there was a relatively strong relationship between the HV cross-polarization and the volume scattering of the maize, which was mostly determined by the crown structure. The modified VIs were designed using both the VIs of HJ-1 and the HV cross-polarization of RADARSAT-2 to overcome the saturation limitation. The validation showed that this integrated method of determining VIs is a good alternative to that using only the optical or microwave observation. (C) 2013 Elsevier B.V. All rights reserved.

Accession Number: WOS:000318328800001

Document Type: Article

Language: English

Author Keywords: Leaf Area Index; Height; Biomass; Vegetation indices (VIs); HJ-1; RADARSAT-2

KeyWords Plus: RADIATIVE-TRANSFER MODEL; VEGETATION INDEXES; SCATTERING MODEL; C-BAND; TM IMAGES; LAI; CHLOROPHYLL; CROP; SAR; REFLECTANCE

Reprint Address: Gao, S (reprint author)

         Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China.

Addresses:

         [ 1 ] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China

          [ 2 ] Univ Chinese Acad Sci, Beijing 100039, Peoples R China

E-mail Addresses: gaoshuai@live.com