Use of vegetation change tracker, spatial analysis, and random forest regression to assess the evolution of plantation stand age in Southeast China
Use of vegetation change tracker, spatial analysis, and random forest regression to assess the evolution of plantation stand age in Southeast China
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利用植被变化跟踪器、空间分析和随机森林回归评估中国东南部人工林林龄的演变
DOI：
10.1007/s13595-020-0924-x
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发表时间：
2020-03
影响因子：
3
通讯作者：
Ji Biyong
中科院分区：
文献类型：
--
作者：
Diao Jiaojiao;Feng Tuo;Li Mingshi;Zhu Zhiliang;Liu Jinxun;Biging Gregory;Zheng Guang;Shen Wenjuan;Wang Heng;Wang Jingrui;Ji Biyong
利用植被变化跟踪（VCT）、空间分析（SA）和随机森林回归（RF）技术，绘制了中国南方3个典型人工林林分年龄的光谱-时间格局。林龄结构的光谱-时间分布表明研究区人工林的老化趋势日益明显。在中国，人工林在生态系统恢复和碳汇中发挥着重要作用。绘制人工林林龄分布图对于制定可持续人工林管理计划至关重要。本研究的目的是提出两种新的基于遥感的人工林年龄制图模型，并测试模型在确定森林年龄光谱-时间格局方面的可行性和准确性。首先将植被变化跟踪（VCT）算法与空间分析（VCT- sa）结合起来，对1987 - 2017年至少受到一次干扰的像元进行分析，对研究期间未受到干扰的像元进行VCT与随机森林（VCT- rf）的综合分析。然后将这两部分的森林年龄分别合并，得到年森林年龄。对丽水3个典型人工林1987 - 2017年的林龄进行了30 m分辨率的时间光谱分析。结果表明：研究区人工林的老化趋势日益明显。结果表明，利用组合遥感模型推导人工林林龄分布是合理的。此外，我们还证实了在丽水市大面积研究区内，由于森林保护政策的实施，人工林的林龄呈上升趋势。
By integrating vegetation change tracker (VCT), spatial analysis (SA), and random forest regression (RF), the spectral-temporal patterns of forest stand age were mapped for three typical plantations in Southern China. The spectral-temporal distribution of age structure indicated that the plantation stands in the study area were increasingly aging. Plantations play a major role in China for ecosystem restoration and carbon sequestration. Mapping plantation stand age distributions is essential for developing sustainable plantation forest management plans. The purpose of this study was to propose two new remote sensing based models for mapping plantation ages and to test the model feasibility and accuracy in determining the spectral-temporal patterns of forest ages. We first integrated vegetation change tracker (VCT) algorithm and spatial analysis (VCT-SA) for the pixels that were disturbed at least once from 1987 to 2017, and integrated VCT and random forest (VCT-RF) for the pixels were not disturbed during the study period. Then the forest age of these two parts were merged separately to generate annual forest age. The spectral-temporal (30-m resolution, from 1987 to 2017) of forest age for the three typical plantations in Lishui were generated. The results indicated that the plantation stands in our large study area were increasingly aging. Our results revealed that it is reasonable to derive the distribution of plantation stand ages from combined remote sensing models. Besides, we confirmed that the stand ages of the plantations in our large study area of Lishui City are on the rise as the result of forest protection policies.
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影响因子：
8.2
作者：
IMHOFF, ML
通讯作者：
IMHOFF, ML
影响因子：
10.1
作者：
Keesing, F
通讯作者：
Keesing, F
DOI：
10.1016/j.isprsjprs.2012.03.011
发表时间：
2012-06-01
影响因子：
12.7
作者：
Cutler, M. E. J.;Boyd, D. S.;Vetrivel, A.
通讯作者：
Vetrivel, A.
影响因子：
13.5
作者：
Johansen, Kasper;Coops, Nicholas C.;Stange, Yulia
通讯作者：
Stange, Yulia
DOI：
10.1016/s0273-1177(97)01133-2
发表时间：
1998-01-01
期刊：
SYNERGISTIC USE OF MULTISENSOR DATA FOR LAND PROCESSES
影响因子：
--
作者：
Gitelson, AA;Merzlyak, MN
通讯作者：
Merzlyak, MN