地理科学 ›› 2017, Vol. 37 ›› Issue (4): 620-629.doi: 10.13249/j.cnki.sgs.2017.04.016
收稿日期:
2016-04-29
修回日期:
2016-10-10
出版日期:
2017-04-25
发布日期:
2017-04-25
作者简介:
作者简介:李净(1978-),女,甘肃会宁人,博士,副教授。主要从事复杂地形下定量遥感研究。E-mail:
基金资助:
Jing Li1(), Hongbing Liu2, Caiyun Li3, Long Li4
Received:
2016-04-29
Revised:
2016-10-10
Online:
2017-04-25
Published:
2017-04-25
Supported by:
摘要:
基于全球库存建模与绘图研究第三代归一化差值植被指数(GIMMS 3g NDVI)、土地利用和气温降水数据,利用NDVI时间序列谐波分析法(HANTS)重构了中国北部地区原始植被NDVI,用一元六次多项式拟合了植被生长曲线并结合逐像元动态阈值法提取了中国北部地区1983~2012年植被生长季始期并分析了其时空变化及对气温和降水的响应情况。结果表明:①GIMMS 3g NDVI具有较长的时序特征和较好的数据质量,经HANTS时间序列谐波分析后能很好的表现植被生长季曲线特征,可用于后续植被生长季的研究。② 北部地区生长季始期均值主要集中分布在80~150βd之间,全区30βa平均为111.6βd,东北平原、华北平原、河套平原、新疆天山和阿尔泰地区生长季始期早于其它区域。③ 研究时段内北部地区生长季始期总体上呈提前趋势(R2=0.19),空间上由西北向东北逐渐推移,明显提前的区域主要分布在内蒙古中东部、东北平原、陕西南部和新疆天山的部分地区,明显推迟的区域主要分布在青藏高原高寒地区。④ 因植被类型的不同和区域的差异,生长季始期对气温和降水的响应程度不同,春季气温是影响生长季始期变化的主要自然因素。
中图分类号:
李净, 刘红兵, 李彩云, 李龙. 基于GIMMS 3g NDVI的近30年中国北部植被生长季始期变化研究[J]. 地理科学, 2017, 37(4): 620-629.
Jing Li, Hongbing Liu, Caiyun Li, Long Li. Changes of Green-up Day of Vegetation Growing Season Based on GIMMS 3g NDVI in Northern China in Recent 30 Years[J]. SCIENTIA GEOGRAPHICA SINICA, 2017, 37(4): 620-629.
表1
中国北方生长季始期与气温和降水相关性"
相关性 | 生长季始期与气温 | 生长季始期与降水 | |||||
---|---|---|---|---|---|---|---|
系数范围 | 像元个数 | 百分比(%) | 系数范围 | 像元个数 | 百分比(%) | ||
显著正相关 | -0.7~-0.5 | 483 | 1.26 | -0.8~-0.5 | 208 | 0.54 | |
较显著正相关 | -0.5~-0.3 | 4464 | 11.62 | -0.5~-0.3 | 2431 | 6.33 | |
弱正相关 | -0.3~-0.1 | 12237 | 31.86 | -0.3~-0.1 | 9613 | 25.03 | |
基本不相关 | -0.1~0.1 | 13913 | 36.22 | -0.1~0.1 | 15377 | 40.03 | |
弱负相关 | 0.1~0.3 | 6670 | 17.36 | 0.1~0.3 | 9626 | 25.06 | |
较显著负相关 | 0.3~0.5 | 1179 | 3.07 | 0.3~0.5 | 1636 | 4.26 | |
显著负相关 | 0.5~0.7 | 52 | 0.14 | 0.5~0.6 | 107 | 0.28 |
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