基于Landsat和MODIS数据融合的农牧区NPP模拟   总被引：2，自引：0，他引：2  

尹小君  祝宏辉  GAO Jerry  高军  郭丽洁  苟贞珍 《农业机械学报》2020,51(8):163-170

天山北坡是中国重要的农牧业发展基地,利用遥感数据准确获取植被净初级生产力(Net primary productivity,NPP)的时空信息,对于合理分配农牧业草地资源具有重要意义。由于受到天气影响及卫星传感器受到时间分辨率和空间分辨率的限制,获取既具有中空间分辨率、又具有高时间分辨率的遥感数据比较困难。本文基于中空间分辨率Landsat 8 OLI数据与高时间分辨率MODIS数据,采用遥感数据时空融合STARFM算法,获取中空间分辨率和高时间分辨率序列的遥感数据,以天山北坡中段区域为实验区,结合CASA模型,对区域内植被NPP进行模拟。结果表明,2016年内8个时期,融合后的NDVI数据与对应时刻的Landsat 8 OLI NDVI数据的相关系数不小于0.759,偏差在0.006 2～0.009 4之间,均方根误差在0.074～0.135之间;利用融合数据与CASA模型协同模拟的NPP具有良好的空间细节信息,NPP模拟值与野外实测值决定系数R~2为0.860 1,表明两者具有较好的相关性。本研究为多源遥感影像融合技术与光能利用率模型协同模拟NPP提供了新的思路。  相似文献   

近15年新疆伊犁河谷草地退化时空变化特征   总被引：1，自引：0，他引：1  

闫俊杰  刘海军  崔东  陈晨 《草业科学》2018,35(3):508-520

以伊犁河谷为研究区,利用MODIS NDVI数据及像元二分模型,反演草地植被覆盖度,以草地植被覆盖度为评价标准,结合数字高程模型(digital elevation model,DEM)数据及Getis-Ord Gi*冷/热点分析方法,对伊犁河谷2001-2015年草地退化的时空特征进行了分析。结果表明,1)受持续过度放牧及气候条件影响,2001-2015年伊犁河谷草地整体持续退化,15年内退化草地比例达46.18%,但退化以轻度为主;2)空间上退化草地的分布范围逐步向高海拔区域扩展,海拔1 500-3 000 m的中山和中高山区退化草地扩张最明显;3)草地生态保护政策的实施减缓了草地退化速度,草地退化与改善的空间差异逐渐明显,以退化为主的单一变化趋势有所改变;4)利用NDVI反演植被覆盖度对草地退化进行评价的方法存在对高植被覆盖区域草地退化敏感性相对较弱的缺陷。  相似文献   

2000-2010年锡林郭勒草原NPP时空变化及其气候响应   总被引：2，自引：0，他引：2  

刘海江  尹思阳  孙聪  彭福利  周澎 《草业科学》2015,(11):1709-1720

利用MODIS MOD17A3植被初级生产力数据产品及地面气象观测数据,研究分析了2000-2010年锡林郭勒盟草原NPP的时空变化特征、各气候因子的年际变化特征及NPP与气候因子的相关关系。结果表明,锡林郭勒盟草原NPP的分布由东向西逐渐减小,值大多分布在0~0.5 kg C·m-2;2001-2010年NPP呈现波动变化,整体呈增加趋势,空间分布上更加趋于均匀分布;2000-2010年,研究区内典型草原和荒漠草原各气候因子的变化趋势大致相同,4-9月累计平均气温、平均相对湿度和累计日照时数呈减小趋势,平均风速呈增加趋势,累计降水量典型草原呈轻微减少趋势,荒漠草原呈增加趋势,趋势斜率分别为-0.026和1.044 5,典型草原大部分气候因子的波动程度大于荒漠草原;研究区内两种类型的草原的NPP均与4-9月累计平均气温、平均日最低气温有较强的负相关关系(显著水平分别为P0.001和P0.01),与累计降水量、平均相对湿度有较强的正相关关系(显著水平为P0.01),与4-9月累计日照时数、平均风速呈负相关关系但相关关系较弱,荒漠草原对气候因子变化的响应总体不如典型草原敏感。  相似文献   

Developing the framework for a risk map for mite vectored viruses in wheat resulting from pre-harvest hail damage     

《Crop Protection》2016

There is a strong economic incentive to reduce mite-vectored virus outbreaks. Most outbreaks in the central High Plains of the United States occur in the presence of volunteer wheat that emerges before harvest as a result of hail storms. This study provides a conceptual framework for developing a risk map for wheat diseases caused by mite-vectored viruses based on pre-harvest hail events. Traditional methods that use NDVI were found to be unsuitable due to low chlorophyll content in wheat at harvest. Site-level hyperspectral reflectance from mechanically hailed wheat showed increased canopy albedo. Therefore, any increase in NIR combined with large increases in red reflectance near harvest can be used to assign some level of risk. The regional model presented in this study utilized Landsat TM/ETM+ data and MODIS imagery to help gap-fill missing data. NOAA hail maps that estimate hail size were used to refine the area most likely at risk. The date range for each year was shifted to account for annual variations in crop phenology based on USDA Agriculture statistics for percent harvest of wheat. Between 2003 and 2013, there was a moderate trend (R² = 0.72) between the county-level insurance claims for Cheyenne County, Nebraska and the area determined to be at risk by the model (excluding the NOAA hail size product due to limited availability) when years with low hail claims (<400 ha) were excluded. These results demonstrate the potential of an operational risk map for mite-vectored viruses due to pre-season hail events.  相似文献   

Monitoring desertification processes in Mongolian Plateau using MODIS tasseled cap transformation and TGSI time series     

LIU Qingsheng  LIU Gaohuan  HUANG Chong 《干旱区科学》2018,10(1):12-26

Most remote sensing studies assess the desertification using vegetation monitoring method. But it has the insufficient precision of vegetation monitoring for the limited vegetation cover of the desertification region. Therefore, it offers an alternative approach for the desertification research to assess sand dune and sandy land change using remote sensing in the desertification region. In this study, the indices derived from the well-known tasseled cap transformation(TCT), tasseled cap angle(TCA),disturbance index(DI), process indicator(PI), and topsoil grain size index(TGSI) were integrated to monitor and assess the desertification at the thirteen study sites including sand dunes and sandy lands distributed in the Mongolian Plateau(MP) from 2000 to 2015. A decision tree was used to classify the desertification on a regional scale. The average overall accuracy of 2000, 2005, 2010 and 2015 desertification classification was higher than 90%. Results from this study indicated that integration of the advantages of TCA, DI and TGSI could better assess the desertification. During the last 16 years, Badain Jaran Desert, Tengger Desert, and Ulan Buh Desert showed a relative stabilization. Otindag Sandy Land and the deserts of Khar Nuur, Ereen Nuur, Tsagan Nuur, Khongoryn Els, Hobq, and Mu Us showed a slow increasing of desertification, whereas Bayan Gobi, Horqin and Hulun Buir sandy lands showed a slow decreasing of desertification. Compared with the other 11 sites, the fine sand dunes occupied the majority of the Tengger Desert, and the coarse sandy land occupied the majority of the Horqin Sandy Land. Our findings on a three or four years' periodical fluctuated changes in the desertification may possibly reflect changing precipitation and soil moisture in the MP. Further work to link the TCA, DI,TGSI, and PI values with the desertification characteristics is recommended to set the thresholds and improve the assessment accuracy with field investigation.  相似文献   

北疆不同草地类型MODIS植被指数的时空变化研究   总被引：6，自引：3，他引：3  

李霞  崔霞  黄晓东  梁天刚 《草业科学》2007,24(9):5-11

利用卫星遥感数据TERRA/MODIS,以2004、2005年5-10月的月度变化为例,分析了北疆试验区高寒草甸、高寒草原、温性草原化荒漠、人工草地和沼泽5种草地类型植被指数(MODIS-EVI、NDVI)在各个生长阶段的变化,从而反映5种草地类型生长状况及其特性.研究结果表明,5种草地类型增强型植被指数(EVI)均比归一化植被指数(NDVI)小,两者月度变化趋势基本一致,但EVI变化幅度比NDVI小.在高寒草原、高寒草甸、温性草原化荒漠草地类型上EVI比NDVI更稳定,但在沼泽多水的自然环境和人工草地上,EVI波动幅度大于NDVI.  相似文献   

Monitoring forage production for farmers’ decision making     

Gonzalo Grigera  Martín OesterheldFernando Pacín 《Agricultural Systems》2007

Objective management of grazing livestock production systems needs monitoring of forage production at the managerial unit level. Our objectives were to develop a system that routinely estimates forage above-ground net primary production (ANPP) at the spatial and temporal resolution required by farmers in the Pampas of Argentina, and to facilitate adoption of the system by end users as a managerial support tool. Our approach was based on the radiation use efficiency (RUE) logic, which proposes that ANPP is determined by the amount of photosynthetically active radiation absorbed by the canopy (APAR), and the efficiency with which that energy is transformed in above-ground dry matter (radiation use efficiency, RUE). APAR is the product of incoming photosynthetically active radiation (PAR) and the fraction absorbed by the canopy (fPAR). We estimated fPAR as a non-linear function of MODIS normalized difference vegetation index (NDVI). RUE was empirically estimated for the two principal forage resources of the region, yielding the following relations: ANPP = 0.6 × APAR + 12, (R² = 0.86; p < 0.001; n = 18) for the upland sown pastures, and ANPP = 0.27 × APAR + 26, (R² = 0.74; p < 0.001; n = 18) for the lowland naturalized pastures, with ANPP in g/m²/60 days and APAR in MJ/m²/60 days. The models were able to predict independent ANPP values with acceptable accuracy. Computational procedures were automated and run in a Relational Data Base Manager System that stored and managed all the information. The system is currently monitoring 212,794 ha in 83 farms and provides monthly ANPP values for the previous month and a history of the last 6 years. The data so generated show ANPP differences between the two major forage resources, considerable variability of a given month’s ANPP among years and paddocks, and contrasting among-farm differences in the efficiency of conversion of ANPP and forage supplements into beef production. The system was well accepted by end users who utilize it mainly for making near real time decisions according to last month ANPP, and explaining results of previous production cycles by incorporating ANPP as an explicative variable. However, there were differences among farmers in the degree of utilization, apparently related to the advisor’s attitude toward this new technology. Our results indicate that (1) forage production of large extensions can be monthly monitored at the paddock level by a small laboratory with capabilities in geographic information systems, and (2) advisors and farmers apply this information to their managerial decisions.  相似文献   

基于单时相MODIS数据的草地退化遥感监测研究   总被引：6，自引：0，他引：6  

姜立鹏  覃志豪  谢雯 《中国草地学报》2007,29(1):39-43

以草地NPP减少的相对百分数（由实际NPP和潜在NPP计算）为主要监测指标，提出了一个基于单时相MODIS数据的草地退化遥感监测方法。介绍了利用MODIS数据反演实际NPP的方法，并提出了一个根据实际NPP和草地类型分布图确定潜在NPP的方法。对2003年中国北方草地的监测结果表明，中国北方草地退化严重，退化程度的空间差异性较大，草地退化程度与草地类型密切相关。  相似文献   

基于MODIS数据的中国草地生态体系价值估算研究   总被引：5，自引：0，他引：5  

王瑞杰  覃志豪 《中国草地学报》2007,29(1):50-54

在传统的草原生态系统价值估算的基础上,利用遥感技术,以谢高地等人计算出来的各种草地类型单位面积价值量为经济参数,利用2003年MODIS数据估算的中国草原生态系统服务价值约折合US$311.48×108,并从草地类型和省区等角度分别进行区域分析,表明我国草原生态系统服务价值呈现出农牧交错带较高且逐渐向牧区递减的特征,说明牧区草原生态系统退化比较严重,草原生态功能保护意识需要进一步加强。  相似文献   

哈密地区绿洲植被遥感监测及其变化原因分析   总被引：1，自引：0，他引：1  

邢文渊  肖继东  师庆东  石玉 《草业科学》2007,24(9):34-37

植被作为生态环境的重要组成部分,是人类生存环境变化的一个敏感指示变量.选取2002-2005年连续4年7月份的MODIS 250 m×250 m的遥感影像,在EOS/MODIS资料接收处理系统、卫星遥感应用系统平台以及 MAPGIS6.5的支持下,通过预处理、几何校正、归一化植被指数(NDVI)提取以及最大值合成,对东疆哈密地区的植被盖度进行了计算,并按 NDVI 值的大小将地表植被分为3类,计算出了不同植被覆盖的面积,比较了逐年不同盖度植被的面积变化,结合哈密地区的资源分布图进行比较,研究表明:哈密地区2002-2005年低覆盖的植被盖度减少较快,且该区域大多为牧草地,这也说明在那些原本就是低植被覆盖的牧草地区域,脆弱的生态环境正遭受到不断的破坏,正在走向沙化、荒漠化,这主要是由于降水量、人为因素以及载畜量所造成的.  相似文献