Soil line automatic identification algorithm based on two-dimensional feature space

Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Volumn 28, Issue 3, 2012, Pages 167-171

  Qin, Qiming ^a   You, Lin ^a,b   Zhao, Yue ^a   Zhao, Shaohua ^a,c   Yao, Yunjun ^a,d  

^a PEKING UNIVERSITY   (China)

^b Ningbo Planning and Geography Information Center   (China)

^c NANJING INSTITUTE OF ENVIRONMENTAL SCIENCES   (China)

^d BEIJING NORMAL UNIVERSITY   (China)

Author keywords

Algorithms; Automated identification; Remote sensing; Soil line; Soils; Spectral space

Indexed keywords

AUTOMATED IDENTIFICATION; AUTOMATIC ALGORITHMS; AUTOMATIC IDENTIFICATION; DROUGHT MONITORING; ECOLOGICAL PROPERTY; FIELD EXPERIMENT; FITTING PARAMETERS; REMOTE SENSING IMAGES; SOIL LINE; SPECTRAL SPACES; TIME-SERIES DATA; TWO-DIMENSIONAL FEATURES; WATER CONDITIONS;

ALGORITHMS; AUTOMATION; DROUGHT; IMAGE RECONSTRUCTION; PIXELS; REFLECTION; REMOTE SENSING; SOILS; TWO DIMENSIONAL;

GEOLOGIC MODELS;

EID: 84863152153     PISSN: 10026819     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1002-6819.2012.03.029     Document Type: Article

References (15)

1. Kauth R J, Thomas G S. The tasseled cap - A graphic description of the spectral-temporal development of agricultural crops as seen by LANDSAT[C]//Proceedings of the Symposium on Machine Processing of Remotely Sensed Data, Purdue University of West Lafayette, Indiana, 1976, 41-51.
2. Richardson A J, Wiegand C L. Distinguishing vegetation from soil background information[J]. Photogrammetric Engineering and Remote Sensing, 1977, 43(12): 1541-1552.
3. Li F, Zhang B, Song K, et al. Retrieval model for estimating corn LAI in black soil region of Northeast China based on Perpendicular Vegetation Index[J]. Agricultural Research in the Arid Areas, 2008, 26(3): 33-38. (in Chinese with English abstract)
4. Huete A R. A soil adjusted vegetation index (SAVI)[J]. Remote Sensing of the Environment, 1988, 25(3): 295-309.
5. Baret F, Guyot G, Major D. TSAVI: A vegetation index which minimizes soil brightness effects on LAI and APAR estimation[C]//12th Canadian Symposium on Remote Sensing and IGARSS'90, 1989: 10-14.
6. Baret F, Guyot G. Potentials and limits of vegetation indices for LAI and APAR assessment[J]. Remote Sensing of the Environment, 1991, 35(2/3): 161-173.
7. Zhan Z, Qin Q, Ghulam A, et al. NIR-red spectral space based new method for soil moisture monitoring[J]. Science in China Series D: Earth Sciences, 2007, 50(2): 283-289.
8. Ghulam A, Qin Q, Teyip T, et al. Modified perpendicular drought index (MPDI): a real-time drought monitoring method[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2007, 62(2): 150-164.
9. Ghulam A. Remote Sensing Monitoring of Farmland Drought based on n-Dimensional Spectral Feature Space[D]. Beijing: Peking University, 2006.
10. Ghulam A, Li Z, Qin Q, et al. A method for canopy water content estimation for highly vegetated surfaces-shortwave infrared perpendicular water stress index[J]. Science in China Series D: Earth Sciences, 2007b, 50(9): 1359-1368.
11. Liu H, Zhang B, Song K, et al. Soil Line Influence Factors Analysis Based on Laboratory Soil Hyperspectral Reflectance[J]. Journal of Remote Sensing, 2008, 12(1): 119-127. (in Chinese with English abstract)
12. Liu H, Yu W, Zhang X, et al. Spatial heterogeneity of soil line parameters of black soil zone in Northeast China[J]. Transactions of the CSAE, 2009, 25(10): 166-170. (in Chinese with English abstract)
13. Liu H, Zhang B, Yang L, et al. Review of Soil Optical Remote Sensing[J]. Chinese Journal of Soil Science, 2007, 38(6): 1196-1202. (in Chinese with English abstract)
14. Qin Q M, Jin C, Ghulam A, et al. Implementation of perpendicular drought index in remote sensing supporting system[C]//2006 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2006, 4104-4107.
15. Fox G A, Sabbagh G J, Searcy S W, et al. An automated soil line identification routine for remotely sensed images[J]. Soil Science Society of America Journal, 2004, 68(4): 1326-1331.