Characteristics of Ecosystem Changes in Beijing-Hebei Eco-water Source Conservation Forest Region from 2009 to 2018

doi:10.13466/j.cnki.lyzygl.2021.06.011

Abstract

Abstract:

Based on RS data and ground observation data,this paper compared the change of vegetation sequence in Beijing-Hebei eco-water source conservation forest region before and after the project by NDVI and implementation effect of engineering drawings. The results showed that: 1) From the analysis of the total vegetation index,the growth trend of vegetation kept increasing from 2009 to 2018,and the effect of vegetation restoration reached 17.6%. According to the situation of each county (district) in the project area,the vegetation index also showed an upward trend,especially in Guyuan,Chongli,Fengning and Chicheng Counties. 2) From the analysis of the project implementation effect,the significant proportion of the project effect in 2009-2018 was above 96%. The disturbed phenomenon was decreasing year by year,the overall project effect was good. The results of remote sensing monitoring of project effectiveness were in good agreement with the actual situation,and the accuracy was high.

Key words: water source protection forest, surface change, NDVI, Beijing and Hebei

CLC Number:

XIANG Yingying. Characteristics of Ecosystem Changes in Beijing-Hebei Eco-water Source Conservation Forest Region from 2009 to 2018[J]. FOREST RESOURCES WANAGEMENT, 2021, (6): 65-68.

Figures/Tables 4

Tab.1

Fig.1

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Tab.3

References 10

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指标	定义	说明
地表变化显著	地表有明显的造林痕迹	1)在影像上呈现有整齐排列的小点纹理;2)在影像上呈现有凹凸不平的颗粒状纹理且沿自然边界不规则分布
地表变化不显著	地表无明显的造林痕迹	在影像上呈平滑的纹理

年份	图斑总数 /个	效果显著						效果不显著
		无干扰		有干扰		合计		图斑数 /个	百分比 /%
		图斑数/个	百分比/%	图斑数/个	百分比/%	图斑数/个	百分比/%	图斑数 /个	百分比 /%
2009	1010	844	83.56	130	12.87	974	96.44	36	3.56
2010	749	682	91.05	66	8.81	748	99.87	1	0.13
2011	696	600	86.21	90	12.93	690	99.14	6	0.86
2012	1109	973	87.74	119	10.73	1092	98.47	17	1.53
2013	769	649	84.40	115	14.95	764	99.35	5	0.65
2014	1023	895	87.49	119	11.63	1014	99.12	9	0.88
2015	704	646	91.76	58	8.24	704	100.00	0	0.00
2016	1613	1441	89.3%	144	8.93	1585	98.26	28	1.74
2017	1303	1195	91.71	83	6.37	1278	98.08	25	1.92
总计	8976	7925	88.29	924	10.29%	8849	98.59	127	1.41

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