Identification of Agricultural and Pastoral Lands on the Tibetan Plateau based on Optical and Radar Remote Sensing Data

Jinchang ZHAO; Xiaofang SUN; Meng WANG; Junbang WANG

doi:10.11873/j.issn.1004-0323.2025.3.0695

Remote Sensing Technology and Application, Volume. 40, Issue 3, 695(2025)

Identification of Agricultural and Pastoral Lands on the Tibetan Plateau based on Optical and Radar Remote Sensing Data

Jinchang ZHAO^1,3, Xiaofang SUN^1,3、*, Meng WANG^1,3, and Junbang WANG²

Author Affiliations

¹College of Geography and Tourism， Qufu Normal University， Rizhao276826， China

²Key Laboratory of Ecosystem Network Observation and Modeling， National Ecosystem Science Data Center， Institute of Geographic Sciences and Natural Resources Research， Chinese Academy of Sciences， Beijing100101， China

³Sino-Belgian Joint Laboratory of Geo-Information， Rizhao276826， China

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Figures & Tables(12)

Fig. 1. Location and field photographs of barley and oilseed rape in Rikaze city

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Fig. 2. Flow chart of proposed method

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Fig. 3. Fitted curves of NDVI，NDMI， GRVI， and BSI after harmonic derivation in a mixed barley-rape fields

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Fig. 4. Comparison of BSI，NDMI，GRVI and EVI vegetation index curves after harmonic derivation

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Fig. 5. Comparison of NDVI， PSRI， NRFI and NDYI vegetation index curves after harmonic derivation

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Fig. 6. Spatial distribution of barley rape from 2019 to 2023

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Fig. 7. Spatial distribution map of barley oilseed rape and comparison of classification results with satellite images in Rikaze City in 2023

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Fig. 8. Comparison of remote sensing estimated area and actual area of barley oilseed rape in Rikaze City，2019~2023

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Fig. 9. Planting frequency and dynamics of barley-oilseed rape growing areas

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Table 1. Table 1The vegetation indices used in this study and the formulas

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Table 1. Table 1The vegetation indices used in this study and the formulas

植被指数	计算公式
NDVI	$\frac{ρ_{N I R} - ρ_{R e d}}{ρ_{N I R} + ρ_{R e d}}$
EVI	$2.5 \times \frac{ρ_{N I R} - ρ_{R e d}}{ρ_{N I R} + 6 \times ρ_{R e d} - 7.5 \times ρ_{B l u e} + 1}$
GRVI	$\frac{ρ_{G r e e n} - ρ_{R e d}}{ρ_{G r e e n} + ρ_{R e d}}$
NRFI	$\frac{ρ_{G r e e n} - ρ_{S W I R 2}}{ρ_{G r e e n} + ρ S W I R 2}$
NDYI	$\frac{ρ_{G r e e n} - ρ_{B l u e}}{ρ_{G r e e n} + ρ_{B l u e}}$
BSI	$\frac{(ρ S W I R + ρ_{R e d}) - (ρ_{N I R} + ρ_{B l u e})}{(ρ S W I R + ρ_{R e d}) + (ρ_{N I R} + ρ_{B l u e})}$
PSRI	$\frac{ρ_{R e d} - ρ_{B l u e}}{ρ_{R e d}_{E d g e 2}}$
NDMI	$\frac{ρ_{N I R} - ρ S W I R 1}{ρ_{N I R} + ρ S W I R 1}$

Table 2. Table 2Extraction accuracy under different combinations of schemes for 2023

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Table 2. Table 2Extraction accuracy under different combinations of schemes for 2023

特征集	OA/%	Kappa系数	UA/%	PA/%	F1
植被指数	95.65	0.913	91.67	91.67	0.917
植被指数+DEM+坡度	95.83	0.917	92.11	91.89	0.920
植被指数+VV+VH	97.30	0.945	97.37	97.50	0.974
植被指数+VV+VH+DEM+坡度	98.70	0.974	97.67	97.77	0.977

Table 3. Table 3Extraction accuracy of barley oilseed rape， 2019<bold>~</bold>2023
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Table 3. Table 3Extraction accuracy of barley oilseed rape， 2019<bold>~</bold>2023
年份 OA/% Kappa系数 UA/% PA/% F1
2019 92.00 0.841 97.06 86.84 0.917
2020 98.36 0.966 97.22 96.15 0.967
2021 97.14 0.942 94.87 93.94 0.944
2022 98.65 0.973 97.37 97.30 0.973
2023 98.70 0.974 97.67 97.77 0.977

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Jinchang ZHAO, Xiaofang SUN, Meng WANG, Junbang WANG. Identification of Agricultural and Pastoral Lands on the Tibetan Plateau based on Optical and Radar Remote Sensing Data[J]. Remote Sensing Technology and Application, 2025, 40(3): 695

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Paper Information

Category:

Received: Dec. 21, 2023

Accepted: --

Published Online: Sep. 28, 2025

The Author Email: Xiaofang SUN (sunxf@qfnu.edu.cn)

DOI:10.11873/j.issn.1004-0323.2025.3.0695

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Table 1The vegetation indices used in this study and the formulas

Table 1. Table 1The vegetation indices used in this study and the formulas

Table 2. Table 2Extraction accuracy under different combinations of schemes for 2023

Table 2. Table 2Extraction accuracy under different combinations of schemes for 2023

Table 3. Table 3Extraction accuracy of barley oilseed rape， 2019<bold>~</bold>2023

Table 3. Table 3Extraction accuracy of barley oilseed rape， 2019<bold>~</bold>2023