Forest and Grassland Resources Research >
Design of Annual National Forest Resources Remote Sensing Monitoring System in Southeast Asia Countries—Taking Indonesia as an Example
Received date: 2018-01-12
Revised date: 2018-06-11
Online published: 2020-09-20
Based on 30m global land cover data in 2010 (GlobalLand30),145 and 604 grids are laid separately within Indonesia at 1°×1° and 0.5°×0.5° interval respectively.The coefficient of variation and precision of estimated forest area for 10 different size of plots by two different grid spacing are compared and analyzed.The optimized remote sensing large plots layout in Indonesia is selected based on analysis results.Meanwhile,ground survey plots are established to conduct precision verification.The result shows:1) large plot with the size of 4km×4km at 0.5°×0.5° spacing interval is the optimized sampling plan with consideration of coefficient of variation and precision as well as workload.2) taking Kalimantan Indonesia part as the demonstration site to verify the precision of forest area derived from the large plots layout.The verificaion result shows that the average precision of forest area monitoring is 94.89% using 0.5°×0.5° grid interval and 4km×4km design.The precision meets the national and regional requirement on forest area monitoring.
Qian LIU , Yuxing ZHANG , Xuejun WANG , Shaojie WANG , Ying YANG , Nengah Suratijaya I , Sutrisno Dewayany , Carolita Ita . Design of Annual National Forest Resources Remote Sensing Monitoring System in Southeast Asia Countries—Taking Indonesia as an Example[J]. Forest and Grassland Resources Research, 2018 , 0(3) : 113 -120 . DOI: 10.13466/j.cnki.lyzygl.2018.03.020
| [1] | Reese H, Nilsson M, Pahlen T G. et al. Countrywide estimates of forest variables using satellite data and field data from the national forest inventory[J]. Ambio, 2003,32(8):542-548. |
| [2] | 王雪军, 张煜星, 黄国胜, 等. 全国森林蓄积分层抽样计算方法[J]. 江西农业大学学报, 2016,38(1):9-18. |
| [3] | McRoberts R E, Bechtold W A, Patterson P L, et al. The enhanced forest inventory and analysis program of the USDA forest service:Historicalperspective and announcement of Statistical documentation[J]. Journal of Forestry, 2005,103(9):304-308. |
| [4] | Scott C T, Kohl M, Schnellbacher H J. A comparison of periodic and annual forest surveys[J]. For Sci, 1999,45(3):433-451. |
| [5] | Chhikare R S, Houston A G, Lundgren J C. Corp Acreage Estimation using a Landsat-based Estimator as an Auxiliary Variable[J]. IEEE Transactions on Geoscience and Remote Sensing, 1985,24(l):158-172. |
| [6] | Macdonald R B, HallF G. Global Crop Forecasting[J]. Science, 1980(208):670-679. |
| [7] | 李连发, 王劲峰, 刘纪远国土遥感调查的空间抽样优化决策[J]. 中国科学:D辑地球科学, 2004,34(10):975-982. |
| [8] | Gillis M D, Omule A Y, Brieriey T. Monitoring Canada Forests:the National Forest Inventory[J]. The Forestry Chronicle, 2005,81(2):214-221. |
| [9] | Smith W B. Forest Inventory and Analysis:A National Inventory and Monitoring Program[J]. Environmental Pollution, 2002,116:233-242. |
| [10] | 曾伟生, 程志楚, 夏朝宗. 一种衔接森林资源一类清查和二类调查的新方案[J]. 中南林业调查规划, 2012,31(3):1-4. |
| [11] | 李芝喜, 曹宁湘, 王维勤, 等. 利用遥感多阶不等概抽样清查森林资源[J]. 北京林学院学报, 1985,7(2):70-75. |
| [12] | 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. |
| [13] | 陈振雄, 熊智平, 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, 2014,33(3):28-33. |
| [14] | 王雪军. 基于多源数据源的森林资源年度动态监测研究[D]. 北京:北京林业大学, 2013. |
| [15] | 王雪军, 马炜, 黄国胜, 等. 基于遥感大样地抽样调查的森林面积监测[J]. 北京林业大学学报, 2015,37(11):1-9. |
| [16] | 赵宪文. 国外森林与树木资源的监测与评估[J]. 林业工作参考, 1998(3):50-51. |
| [17] | 陈军, 陈晋, 宫鹏, 等. 全球地表覆盖高分辨率遥感制图[J]. 地理信息世界, 2011,9(2):12-14. |
/
| 〈 |
|
〉 |
