Analysis of Forest Resources Monitoring by Zoning Interpretation and Point Interpretation of Remote Sensing Large Plot

doi:10.13466/j.cnki.lyzygl.2017.06.024

Abstract

Abstract:

According to sampling theory,based on the remote sensing monitoring results of 9 provinces,a comparison of forest coverage rate,forest area,correct-judgement rate,sampling precision and diffidence reason was done between zoning interpretation and point interpretation by remote sensing.Both zoning interpretation and point interpretation get anticipated result.U Test results show that both of forest coverage rates have no clear differences.but point interpretation has the advantages of less workload and higher efficiency.

Key words: forest resources monitoring, large plot, cluster plot

CLC Number:

S771.8

Cite this article

ZHENG Dongmei, ZHI Changgui, HUANG Guosheng, ZENG Weisheng, ZHANG Yun. Analysis of Forest Resources Monitoring by Zoning Interpretation and Point Interpretation of Remote Sensing Large Plot[J]. FOREST RESOURCES WANAGEMENT, 2017, (6): 137-142.

share this article

0
/ / Recommend

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.lyzygl.com.cn/EN/10.13466/j.cnki.lyzygl.2017.06.024

https://www.lyzygl.com.cn/EN/Y2017/V0/I6/137

Figures/Tables 10

Tab.1

The number of large plots and cluster plots in each province

统计单位	大样地数	小样地数
合计	3443	83710
河北	483	11753
辽宁	382	9206
吉林	485	11900
江苏	264	6452
浙江	270	6410
山西	429	10402
湖南	544	13405
贵州	451	10932
宁夏	135	3250

Tab.1

Tab.2

Comparison of forest area between zoning interpretation and point interpretation

统计单位	图斑区划判读森林面积/hm²	群团样地判读森林面积/hm²	差值 /hm²	差值 /%
合计	49119400	48210900	908500	1.88
河北	4801500	4578500	223000	4.87
山西	3482700	3319600	163100	4.91
辽宁	5591300	5835300	-244000	-4.18
吉林	8105500	8082800	22700	0.28
江苏	1210400	1152900	57500	4.99
浙江	6231800	6195400	36400	0.59
湖南	11270400	10886500	383900	3.53
贵州	7759000	7478900	280100	3.75
宁夏	666800	681000	-14200	-2.09

Tab.2

Fig.1

Relation of forest area by zoning interpretation and point interpretation

Fig.1

Tab.3

U test of zoning interpretation and point interpretation

省	样本数 /个	平均值		方差		U值
省	样本数 /个	点判读 ( $x ˉ 1$ )	面判读 ( $x ˉ 2$ )	点判读 (s₁)	面判读 (s₂)	U值
河北	483	0.2439	0.2558	0.0633	0.0737	-0.7058
辽宁	382	0.4004	0.3837	0.1108	0.1123	0.6901
吉林	485	0.4272	0.4284	0.1657	0.1643	-0.0460
江苏	264	0.1124	0.118	0.0257	0.0279	-0.3923
浙江	270	0.6086	0.6122	0.1214	0.1268	-0.1185
山西	429	0.2119	0.2224	0.0506	0.048	-0.6918
湖南	544	0.5139	0.5320	0.0701	0.0708	-1.1236
贵州	451	0.4245	0.4404	0.0566	0.0722	-0.9398
宁夏	135	0.1311	0.1283	0.0211	0.0196	0.1607

Tab.3

Tab.4

The statistics of correct-judgement rate of point interpretation

地类	乔木林 /个	竹林 /个	特殊灌木林 /个	一般灌木林 /个	疏林 /个	未成林造林地/个	苗圃地 /个	迹地 /个	其他土地 /个	合计 /个	正判率 /%
乔木林	1134	4	5	13	1	4	1		33	1195	94.90
竹林	1	41								42	97.62
特殊灌木林	6	1	162	3		10			8	190	85.26
一般灌木林	6		0	99	1	1			6	113	87.61
疏林			0	1	11	0			1	13	84.62
未成林造林地	2		1	2		26			9	40	65.00
苗圃地
迹地	1			2		1		7	3	14	50.00
其他土地	64		12	5	1	31	1	0	1986	2100	94.57

Tab.4

Tab.5

The statistics of correct-judgement rate of zoning interpretation

地类	乔木林 /hm²	竹林 /hm²	特殊灌木林 /hm²	一般灌木林 /hm²	疏林 /hm²	未成林造林地/hm²	苗圃地 /hm²	迹地 /hm²	其他土地 /hm²	合计 /hm²	正判率 /%
乔木林	19363.30	104.05	99.13	64.76	38.80	164.27	2.06	28.12	351.56	20216.05	95.78
竹林	24.03	625.98			0.18					650.19	96.28
特殊灌木林	148.80	2.71	2419.79	13.88	5.67	196.36		1.45	46.20	2834.86	85.36
一般灌木林	122.25		7.74	1434.44	4.89	10.06		2.74	121.75	1703.87	84.19
疏林	13.07		1.04	2.13	132.42	1.21			17.83	167.70	78.96
未成林造林地	41.82		15.86	10.96		677.25			25.34	771.23	87.81
苗圃地							15.05			15.05
迹地	98.52			72.96		4.92		505.47	12.64	694.51	72.78
其他土地	653.62	0.20	101.29	27.30	12.39	372.62	12.37	115.24	33800.23	35095.26	96.31

Tab.5

Tab.6

The statistics of forest area of sampling precision between point interpretation and zoning interpretation

统计单位	群团样地	图斑区划	精度差值
河北	90.80	90.58	0.22
山西	89.59	90.38	-0.79
辽宁	91.66	91.29	0.37
吉林	91.52	91.62	-0.10
江苏	82.80	83.02	-0.22
浙江	93.17	93.10	0.07
湖南	95.67	95.82	-0.15
贵州	94.83	94.40	0.43
宁夏	81.32	81.67	-0.35

Tab.6

Tab.7

The statistics of inconsistent reason between point interpretation and zoning interpretation

统计单位	统计值	样地跨图斑	小面积地类未区划			影像质量	总计
统计单位	统计值	样地跨图斑	合计	林中	空地	影像质量	总计
合计	样地数/个	277	356	237	119	57	690
合计	比例/%	40.1	51.7	34.4	17.3	8.2	100.0
辽宁	样地数/个	160	221	118	103	46	427
辽宁	比例/%	37.5	51.7	27.6	24.1	10.8	100.0
吉林	样地数/个	117	135	119	16	11	263
吉林	比例/%	44.5	51.4	45.3	6.1	4.2	100.0

Tab.7

Tab.8

The transition matrix of land class between point interpretation and zoning interpretation in Liaoning Province

地类	乔木林	疏林	特殊灌木林	一般灌木林	未成林造林地	其他土地	总计
乔木林		5		12	2	184	203
疏林	1					6	7
特殊灌木林				5	2	44	51
一般灌木林	13		28				41
未成林造林地	4						4
迹地	1						1
其他土地	96		24				120
总计	115	5	52	17	4	234	427

Tab.8

Tab.9

The transition matrix of land class between point interpretation and zoning interpretation in Jilin Province

地类	乔木林	疏林	一般灌木林	未成林造林地	其他土地	总计
乔木林		2	37	5	73	117
疏林					3	3
一般灌木林	20					20
其他土地	123					123
总计	134	6	41	5	77	263

Tab.9

References 6

[1]	陈振雄, 熊志平, 曾伟生, 等. 基于大样地双重抽样方法的广东省森林资源监测研究[J]. 中南林业调查规划, 2014(3):28-33.
[2]	王雪军, 张煜星, 黄国胜, 等. 全国森林面积和森林蓄积年度出数方法探讨[J]. 江西农业大学学报, 2016,38(1):9-18.
[3]	曾伟生. 全国森林资源年度出数方法探讨[J]. 林业资源管理, 2013(1):26-31.
[4]	周琪, 姚顺彬. 分层抽样下的森林资源清查数据年度更新探讨[J]. 林业资源管理, 2009(6):117-119.
[5]	王柏昌, 张伟东. 用成数面积估计修正方法进行连清数据年度更新的探讨[J]. 华东森林经理, 2005,19(2):51-54.
[6]	葛宏立, 周国模, 张国江, 等. 遥感地面三相抽样及其在森林资源年度监测面积估计中的应用[J]. 林业科学, 2007,43(6):77-82. doi: 10.11707/j.1001-7488.20070614

Related Articles 13

[1]	YANG Fan, BAI Xingwen. Optimization of Fixed Ground Plots for Forest Resource Monitoring [J]. FOREST RESOURCES WANAGEMENT, 2022, 0(6): 76-81.
[2]	YANG Xueqing, SUN Zhichao, WANG Lisheng, CHAI Zheng, QIU Yiwen, JIANG Chunying. Study of Sampling Survey Method for Forest Fuels Based on Large Plots [J]. FOREST RESOURCES WANAGEMENT, 2022, 0(5): 53-59.
[3]	HUANG Guosheng, LIU Qian, PU Ying, SUN Xiangnan. A New Mode for Forest Resource Monitoring in the Era of Big Data [J]. FOREST RESOURCES WANAGEMENT, 2020, 0(6): 1-5.
[4]	XING Yuanjun, PUBU Dunzhun, LUO Peng, XU Dengping. Analyses on the Impact of Cluster Sampling on Forest Resource Macro-monitoring in Tibet [J]. FOREST RESOURCES WANAGEMENT, 2019, 0(4): 52-58.
[5]	LIU Qian, ZHANG Yuxing, WANG Xuejun, WANG Shaojie, YANG Ying, I Nengah Suratijaya, Dewayany Sutrisno, Ita Carolita. Design of Annual National Forest Resources Remote Sensing Monitoring System in Southeast Asia Countries—Taking Indonesia as an Example [J]. FOREST RESOURCES WANAGEMENT, 2018, 0(3): 113-120.
[6]	HUANG Guosheng. Thought on Promoting the Development of Forest Resources Monitoring by Innovation [J]. FOREST RESOURCES WANAGEMENT, 2017, 0(3): 1-5.
[7]	LU Peng, XIAO Ling, GAN Guichun, WANG Yingquan. Design and Implementation of the Comprehensive Forest Resources Monitoring,Evaluation and Decision Management Information System in Guizhou [J]. FOREST RESOURCES WANAGEMENT, 2017, 0(2): 118-125.
[8]	ZHI Changgui, HUANG Guosheng, ZENG Weisheng. Study on Forest Resources Monitoring Based on Cluster Sampling and Remote Sensing in Danjiangkou Reservoir Area and Upstream [J]. FOREST RESOURCES WANAGEMENT, 2016, 0(5): 34-38.
[9]	. Problems and Suggestions in Forest Resources Monitoring in Beijing Mountain Area-A Case Study in Yanqing, Beijing [J]. FOREST RESOURCES WANAGEMENT, 2015, 0(2): 45-48.
[10]	HUANG Ping. Considerations on the National Integrated Forest Monitoring and Its Implementation in Guangdong Province [J]. FOREST RESOURCES WANAGEMENT, 2013, 0(2): 6-9.
[11]	CHEN Jun, QIU Baoyin. Forest Resources Monitoring for Zhuji CityBased on Thematic Mapper(TM) Imagery [J]. FOREST RESOURCES WANAGEMENT, 2011, 0(6): 104-109.
[12]	LI Chungan, CHEN Qi, TAN Bizeng. Large-scale Forest Resources Monitoring by Means of Spatial Sampling of Hi-resolution Remote Sensing Images [J]. FOREST RESOURCES WANAGEMENT, 2009, 0(2): 106-110.
[13]	WANG Zhongren, HAN Aihui. Forest Resources Monitoring and Management in Germany and Austria and Some Inspiration to China [J]. FOREST RESOURCES WANAGEMENT, 2007, 0(3): 103-108.

Metrics

Viewed

Full text

Abstract

Comments

Abstract
Figures/Tables
References
Related Articles
Recommended Articles
Metrics
Comments

TOP