1 |
HOUGHTON R A. Aboveground forest biomass and the global carbon balance[J]. Glob Chang Biol,2005,11(6):945-958.DOI:10.1111/j.1365-2486.2005.00955.x.
|
2 |
HOLLMANN R,MERCHANT C J,SAUNDERS R,et al. The ESA climate change initiative:satellite data records for essential climate variables[J]. Bull Amer Meteor Soc,2013,94(10):1541-1552. DOI:10.1175/bams-d-11-00254.1.
|
3 |
HEIMANN M,REICHSTEIN M. Terrestrial ecosystem carbon dynamics and climate feedbacks[J]. Nature,2008,451(7176):289-292. DOI:10.1038/nature06591.
|
4 |
刘茜,杨乐,柳钦火,等. 森林地上生物量遥感反演方法综述[J]. 遥感学报,2015,19(1):62-74.
|
|
LIU Q,YANG L,LIU Q H,et al.Review of forest above ground biomass inversion methods based on remote sensing technology[J]. J Remote Sens,2015,19(1):62-74.
|
5 |
陈玲,郝文乾,高德亮. 光学影像纹理信息在林业领域的最新应用进展[J]. 北京林业大学学报,2015,37(3):1-12.
|
|
CHEN L,HAO W Q,GAO D L. The latest applications of optical image texture in forestry[J]. J Beijing For Univ,2015,37(3):1-12.DOI:10.13332/j.1000-1522.20140304.
|
6 |
张佳华,符淙斌. 生物量估测模型中遥感信息与植被光合参数的关系研究[J]. 测绘学报,1999,28(2):128-132.
|
|
ZHANG J H,FU C B. A study on relationships between remote sensing information and plant photosynthetic parameters in estimating biomass model[J]. Acta Geod Et Cartogr Sin,1999,28(2):128-132.DOI:10.3321/j.issn:1001-1595.1999.02.004.
|
7 |
李明诗,谭莹,潘洁,等. 结合光谱、纹理及地形特征的森林生物量建模研究[J]. 遥感信息,2006,21(6):6-9,66.
|
|
LI M S,TAN Y,PAN J,et al. Modeling forest aboveground biomass by combining the spectrum,textures with topographic features[J]. Remote Sens Inf,2006,21(6):6-9,66. DOI:10.3969/j.issn.1000-3177.2006.06.003.
|
8 |
王长委,胡月明,沈德才,等. 基于CBERS数据的亚热带森林地上碳储量估算[J]. 林业科学,2014,50(1):88-96.
|
|
WANG C W,HU Y M,SHEN D C,et al. Assessing the capability of CBERS⁃02B CCD for estimating subtropical forest above ground carbon storage[J]. Sci Silvae Sin,2014,50(1):88-96. DOI:10.11707/j.1001-7488.20140114.
|
9 |
ZHANG L J,SHAO Z F,WANG Z G. Estimation of forest aboveground biomass using the integration of spectral and textural features from GF⁃1 satellite image[C]//2016 4th International Workshop on Earth Observation and Remote Sensing Applications (EORSA),July4-6,2016.
|
10 |
向安民,刘凤伶,于宝义,等.基于k⁃NN方法和GF遥感影像的森林蓄积量估测[J]. 浙江农林大学学报,2017,34(3):406-412.
|
|
XIANG A M,LIU F L,YU B Y,et al. Forest stock volume estimation based on the k⁃NN method and GF remote sensing data[J]. J Zhejiang A&F Univ,2017,34(3):406-412.DOI:10.11833/j.issn.2095-0756.2017.03.004.
|
11 |
HYDE P,DUBAYAH R,WALKER W,et al. Mapping forest structure for wildlife habitat analysis using multi⁃sensor (LiDAR,SAR/InSAR,ETM+,Quickbird) synergy[J]. Remote Sens Environ,2006,102(1/2):63-73. DOI:10.1016/j.rse. 2006.01.021.
|
12 |
ECKERT S. Improved forest biomass and carbon estimations using texture measures from WorldView⁃2 satellite data[J]. Remote Sens,2012,4(4):810-829. DOI:10.3390/rs4040810.
|
13 |
黄金龙,居为民,郑光,等. 基于高分辨率遥感影像的森林地上生物量估算[J]. 生态学报,2013,33(20):6497-6508.
|
|
HUANG J L,JU W M,ZHENG G,et al. Estimation of forest aboveground biomass using high spatial resolution remote sensing imagery[J]. Acta Ecol Sin,2013,33(20):6497-6508.DOI:10.5846/stxb201212211841.
|
14 |
徐小军,周国模,杜华强,等. 基于Landsat TM数据估算雷竹林地上生物量[J]. 林业科学,2011,47(9):1-6.
|
|
XU X J,ZHOU G M,DU H Q,et al. Estimation of aboveground biomass of Phyllostachyspraecox forest based on Landsat Thematic Mapper image[J]. Sci Silvae Sin,2011,47(9):1-6.
|
15 |
LU D S,BATISTELLA M. Exploring TM image texture and its relationships with biomass estimation in Rondônia,Brazilian Amazon[J]. Acta Amaz,2005,35(2):249-257. DOI:10.1590/s0044-59672005000200015.
|
16 |
YANG C J,HUANG H,WANG S Y. Estimation of tropical forest biomass using Landsat TM imagery and permanent plot data in Xishuangbanna,China[J]. Int J Remote Sens,2011,32(20):5741-5756. DOI:10.1080/01431161.2010.507677.
|
17 |
郭云,李增元,陈尔学,等. 甘肃黑河流域上游森林地上生物量的多光谱遥感估测[J]. 林业科学,2015,51(1):140-149.
|
|
GUO Y,LI Z Y,CHEN E X,et al. Estimating forest above⁃ground biomass in the upper reaches of Heihe River basin using multi⁃spectral remote sensing[J]. Sci Silvae Sin,2015,51(1):140-149. DOI:10.11707/j.1001-7488.20150117.
|
18 |
李明阳,吴军,余超,等. 福建武夷山自然保护区森林碳储量遥感估测方法与空间分析[J]. 南京林业大学学报(自然科学版),2014,38(6):6-10.
|
|
LI M Y,WU J,YU C,et al. Estimation and spatial analysis of forest carbon stocks based on remote sensing technology in Wuyi Mountain National Reserve of Fujian Province[J]. J Nanjing For Univ (Nat Sci Ed),2014,38(6):6-10. DOI:10.3969/j.issn.1000-2006.2014.06.002.
|
19 |
王月婷,张晓丽,杨慧乔,等. 基于Landsat 8卫星光谱与纹理信息的森林蓄积量估算[J]. 浙江农林大学学报,2015,32(3):384-391.
|
|
WANG Y T,ZHANG X L,YANG H Q,et al.Forest volume estimation based on spectral and textural information from the Landsat 8 satellite[J]. J Zhejiang A&F Univ,2015,32(3):384-391. DOI:10.11833/j.issn.2095-0756.2015.03.008.
|
20 |
孙玉军,王新杰,马炜,等. 林改区域典型树种森林碳储量监测技术研究[M]. 北京: 中国林业出版社, 2014:34-67.
|
21 |
HARALICK R M. Statistical and structural approaches to texture[J]. Proc IEEE,1979,67(5):786-804. DOI:10.1109/proc. 1979.11328.
|
22 |
LU D S,CHEN Q,WANG G X,et al. Aboveground forest biomass estimation with landsat and LiDAR data and uncertainty analysis of the estimates[J]. Int J For Res,2012,2012:ID436537:1-16. DOI:10.1155/2012/436537.
|
23 |
ZHAO P P,LU D S,WANG G X,et al. Examining spectral reflectance saturation in landsat imagery and corresponding solutions to improve forest aboveground biomass estimation[J]. Remote Sens,2016,8(6):469. DOI:10.3390/rs8060469.
|
24 |
LU D. Aboveground biomass estimation using Landsat TM data in the Brazilian Amazon[J]. Int J Remote Sens,2005,26(12):2509-2525. DOI:10.1080/01431160500142145.
|
25 |
STEININGER M K. Satellite estimation of tropical secondary forest above⁃ground biomass:data from Brazil and Bolivia[J]. Int J Remote Sens,2000,21(6/7):1139-1157. DOI:10.1080/014311600210119.
|
26 |
KUPLICH T M,CURRAN P J,ATKINSON P M. Relating SAR image texture to the biomass of regenerating tropical forests[J].Int J Remote Sens,2005,26(21):4829-4854. DOI:10.1080/01431160500239107.
|
27 |
SARKER L R,NICHOL J E. Improved forest biomass estimates using ALOS AVNIR⁃2 texture indices[J]. Remote Sens Environ,2011,115(4):968-977. DOI:10.1016/j.rse.2010.11.010.
|
28 |
FUCHS H,MAGDON P,KLEINN C,et al. Estimating aboveground carbon in a catchment of the Siberian forest tundra:Combining satellite imagery and field inventory[J]. Remote Sens Environ,2009,113(3):518-531.DOI:10.1016/j.rse.2008.07.017.
|
29 |
CUTLER M E J,BOYD D S,FOODY G M,et al. Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data:an assessment of predictions between regions[J]. ISPRS J Photogramm Remote Sens,2012,70:66-77. DOI:10.1016/j.isprsjprs.2012.03.011.
|