基于去除土壤散射干扰SAR数据的玉米残茬生物量反演

doi:10.12082/dqxxkx.2023.220777

Abstract

Abstract:

As a main way of conservation tillage, crop residue has important influence on the cycle of material and energy in farmland ecosystem. Acquisition of the biomass information of corn residues timely and accurately is of great significance for understanding the implementation of conservation tillage and evaluating the impact of residues quantitatively. However，compared with crops, residues have lower coverage and contain less water,which makes it more difficult to acquire the biomass. To address this issue, we developed a residue backscattering model based on AIEM-Oh model and the Water Cloud Model (WCM) to remove the soil scattering interference. Using Sentinel-1 SAR images as the main data source, a regression model of corn residue biomass was constructed based on radar features selected to retrieve and map the corn residue biomass in Lishu County. Results show that the residue backscattering model can eliminate the interference of soil backscattering contribution effectively, and the inversion model based on the residue backscattering coefficient can improve the biomass inversion accuracy. The autumn biomass inversion model based on the dual-polarized scattering product (Product) has an R² greater than 0.75, and an RMSE less than 85 g/m², showing an increase of at least 0.12 in R² and a decrease of 17 g/m² in RMSE compared to the biomass inversion model before soil scattering contribution removed. This study verifies the feasibility of residue biomass inversion model based on backscattering data with soil scattering interference removed, and provides an attempt for the dynamic monitoring of corn residue biomass using SAR remote sensing data in the future.

Key words: Sentinel-1 SAR, biomass retrieval, corn residue, Residue Backscattering Model

XIE Xiaoman, HONG Zixiang, LI Li, QIU Bingqi, SU Yiran. Retrieval of Corn Residue Biomass Based on SAR Data with Soil Scattering Interference Removed[J].Journal of Geo-information Science, 2023, 25(10): 2070-2083.DOI:10.12082/dqxxkx.2023.220777

Figures/Tables 13

Fig. 1

Tab. 1

Tab. 2

Fig. 2

Tab. 3

Fig.3

Fig. 4

Tab. 4

Fig. 5

Tab. 5

Performance of different features on biomass inversion (before the removal of soil scattering interference)

反演特征	2020年秋季样本（n=81）		2021年春季样本（n=94）
反演特征	R²	RMSE/(g/m²)	R²	RMSE/(g/m²)
$σ v h$	0.503 05	119.179 1	0.489 03	90.756 5
$σ v v$	0.338 38	137.600 8	0.322 47	82.587 7
Product	0.575 46	107.416 1	0.505 21	70.088 1
Ratio	0.179 61	147.443 5	0.145 56	121.008 3
RVI	0.140 37	156.845 6	0.169 93	94.537 2
SPAN	0.415 23	129.363 2	0.338 81	134.683 7

Tab. 5

Tab. 6

Changes of biomass inversion accuracy of different features after separating soil scattering contribution

反演特征	2020年秋季样本（n=81）		2021年春季样本（n=94）
反演特征	ΔR²	ΔRMSE/(g/m²)	ΔR²	ΔRMSE/(g/m²)
$σ v h$	0.221 13	30.334 6	0.213 48	42.639 6
$σ v v$	0.220 52	25.247 9	0.191 23	21.067 8
Product	0.183 25	24.318 1	0.214 18	23.355 5
Ratio	0.203 01	14.522 2	0.239 60	30.622 3
RVI	0.214 10	20.927 9	0.155 41	22.075 8
SPAN	0.200 10	24.442 9	0.271 84	79.636 8

Tab. 6

Fig. 6

Fig. 7

References 36

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参数	最小值	最大值	步进
入射角/°	25	55	2
土壤体积含水量/%	2	50	2
均方根高度/cm	0.2	3	0.2
相关长度/cm	4	50	2

	4月	5月	6月	7月	8月	9月	10月
	上旬中旬下旬	上旬中旬下旬	上旬中旬下旬	上旬中旬下旬	上旬中旬下旬	上旬中旬下旬	上旬中旬下旬
水稻	播种、出苗				抽穗	成熟期
玉米		播种、出苗		抽穗			成熟期
大豆		播种、出苗			抽穗	成熟期

时期	数据类型	影像时间
秋季	S-1 Level-1 GRD	2020年11月03日
	S-2 Level-1C	2020年11月09日
	SMAP/Sentinel-1 Leve2级	2020年11月03日
春季	S-1 Level-1 GRD	2021年04月08日
	S-2 Level-1C	2021年04月18日
	SMAP/Sentinel-1 Leve2级	2021年04月08日

极化方式	最大值	最小值	均值
VV	12.469	0.0474	6.089
VH	18.214	0.19	8.416

Retrieval of Corn Residue Biomass Based on SAR Data with Soil Scattering Interference Removed

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