基于MODIS NDVI数据的广西植被覆盖时空变化遥感诊断

doi:10.11707/j.1001-7488.20191004

摘要/Abstract

摘要：

目的: 对广西2006—2016年植被覆盖变化特征及其变化关键因素进行遥感诊断，为掌握广西地区植被覆盖的时空变化提供科学监测结果和诊断依据。方法: 基于250 m分辨率16天合成的MOD13Q1产品，利用趋势分析法获得11年间广西植被覆盖整体变化情况；结合气象数据，运用回归因子分析法得到植被覆盖变化与温度和降水之间的关系；采用遥感影像差异法对不同时期MODIS土地覆盖类型数据进行分析，探讨人类活动对植被覆盖变化的影响。结果: 2006—2016年11年间广西植被覆盖在波动中呈上升趋势；归一化差值植被指数（NDVI）2—3月呈最低状态，9月最高。全区植被增加面积大于退化面积，其中面积增加最大的区域包括河池、百色、南宁东南部和桂林东部，退化面积最大的区域包括崇左、百色中部、南宁西部和桂林中部，退化程度最高的北海区域退化面积占全区面积的28.9%。11年间，广西植被覆盖类型变化巨大，林地面积显著上升，农用地面积下降明显。结论: 温度和降水与植被覆盖呈正相关关系，二者与植被覆盖在月尺度上的正相关性较年尺度更为显著，且降水对植被的影响高于温度对植被的影响；MODIS土地覆盖类型数据反映出的人类活动表明，林地面积显著增加是广西NDVI上升的主要原因。

关键词: 植被覆盖, NDVI, 气候因素, 人类活动, 广西

Abstract:

Objective: In order to provide a scientific monitoring result and diagnostic basis for the temporal and spatial variation of vegetation cover in Guangxi, the change characteristics of vegetation cover and its key factors from 2006 to 2016 were explored. Method: The whole changes of vegetation cover in Guangxi were explored through trend analysis method based on MOD13Q1. The relationships between vegetation cover change and temperature and precipitation were explored through regression analysis method. The effects of human activities on the vegetation cover change reflected by MODIS land cover data were analyzed by using difference method between remote sensing images in different phases.Result: Guangxi's vegetation coverage was increasing with fluctuation during the past 11 years. The NDVI has the lowest vitality in February and March, while the highest was in September. The area of improved vegetation was much larger than that of degraded ones. The largest regions of improvement were Hechi, Baise, southeast of Nanning and east of Guilin, and the largest regions of degradation were Chongzuo, middle of Baise, west of Nanning and middle of Guilin. Beihai city, the most seriously degraded area, has a 28.9% degrading area. The types of Guangxi's vegetation coverage have changed a lot. Forestry area increased significantly, while agricultural area decreased significantly. Objective: Temperature and precipitation are positively correlated with vegetation cover, the positive correlation is more significant on the monthly scale than that on the annual scale. The effects of precipitation on vegetation were more significant than those of temperature. Human activities reflected by MODIS land cover data indicates that the significant increase in forestry area is the main reason for the increase of Guangxi's NDVI.

Key words: vegetation cover, normalized difference vegetation index(NDVI), climate factors, human activities, Guangxi

中图分类号:

S757
K909

张敏,曹春香,陈伟. 基于MODIS NDVI数据的广西植被覆盖时空变化遥感诊断[J]. 林业科学, 2019, 55(10): 27-37.

Min Zhang,Chunxiang Cao,Wei Chen. Remotely Sensed Diagnosing Temporal and Spatial Variation of Vegetation Coverage in Guangxi Based on MODIS NDVI Data[J]. Scientia Silvae Sinicae, 2019, 55(10): 27-37.

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类型Types	面积Area/km²
类型Types	改善 Improvement	基本不变 Almost unchanged	退化Degradation	合计Sum
河池Hechi	15 156.324	15 729.108	2 038.450	32 923.882
百色Baise	13 512.090	19 389.686	3 443.642	36 345.419
南宁Nanning	9 807.096	7 924.441	2 708.768	20 440.305
桂林Guilin	9 431.816	14 191.608	3 929.663	27 553.086
柳州Liuzhou	7 568.101	8 816.266	2 435.916	18 820.282
来宾Laibin	6 498.880	5 486.777	1 417.003	13 402.660
崇左Chongzuo	6 125.224	10 868.511	2 825.633	19 819.368
钦州Qinzhou	5 439.596	4 386.685	942.294	10 768.575
梧州Wuzhou	4 549.735	6 782.440	1 637.422	12 969.597
玉林Yulin	4 510.050	6 361.816	1 885.338	12 757.204
贵港Guigang	4 374.437	5 056.227	1 499.496	10 930.160
贺州Hezhou	4 334.503	5 736.018	1 575.240	11 645.761
防城港Fangchenggang	1 854.591	3 415.044	724.563	5 994.197
北海Beihai	983.791	1 354.232	949.419	3 287.441
合计Sum	94 146.230	115 498.860	28 012.850	237 657.939

类型Types	面积转移Area of conversion/km²						合计Sum
类型Types	林地Forest	草地 Grassland	农用地 Agricultural land	水域 Waters	城市及建筑用地 Urban construction land	其他 Others	合计Sum
林地Forest	50 906.250	26 987.060	17 244.750	2 949.000	0	0	98 087.060
草地Grassland	5 406.940	48 665.750	25 804.310	769.563	0	0	80 646.560
农用地Agricultural land	902.625	11 343.560	39 941.560	168.563	0	0	52 356.310
水域Waters	155.313	296.813	227.625	951.188	59.450	0	1 690.387
城市及建筑用地Urban construction land	0	0	0	1.625	2 555.125	0	2 556.750
其他Others	0	0	0	0	0	2 321.688	2 321.688
合计Sum	57 371.125	87 293.190	83 218.250	4 839.938	2 614.570	2 321.688	237 658.800

类型Types	面积转移率Convertible rate of area(%)
类型Types	林地Forest	草地Grassland	农用地Agricultural land	水域Waters
林地Forest	—	11.356	7.256	1.241
草地Grassland	2.275	—	10.858	0.324
农用地Agricultural land	0.380	4.773	—	0.071
水域Waters	0.065	0.125	0.096	—

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