共查询到19条相似文献，搜索用时 551 毫秒
1.
农业旱灾是人类面临的最主要的自然灾害之一。利用我国自主研发的FY-3A卫星的MERSI数据计算归一化植被指数(NDVI),将MERSI数据与MODIS数据结合,利用单通道普适算法计算陆地表面温度(LST),将归一化植被指数(NDVI)与陆地表面温度(LST)结合构建NDVI-Ts特征空间,依据该空间计算的温度植被干旱指数(TVDI)作为土壤湿度监测指标,反演了2009年辽宁西部地区的土壤湿度状况。利用气象站点采样的土壤湿度数据进行验证,发现TVDI与实测土壤湿度数据显著相关,能很好地反映表层土壤湿度。并结合往年作物产量数据进行灾害评估,计算出的作物产量与干旱胁迫下的实际产量的误差在10%以内。表明该方法对辽西地区的作物产量评估具有较好的参考价值。 相似文献
2.
《山西农业科学》2017,(11):1823-1828
土壤湿度是反映农业干旱状况的重要方法之一,而温度植被干旱指数(TVDI)能够有效地反演土壤湿度方法。研究利用MOD13A2和MOD11A2获取的归一化植被指数(NDVI)和陆地表面温度(Ts)构建Ts-NDVI特征空间,依据该特征空间计算的温度植被干旱指数(TVDI)作为农业旱情监测指标,结合实测的土壤湿度数据反演了山西省2012年夏季7,8月的农业干旱状况,并结合同时间的气象信息对干旱状况进行验证;然后结合MCD12Q1和DEM数据分析了土地利用类型、海拔高度和地形坡度对农业旱情的影响。结果表明,海拔高度在800 m以下,地形坡度为15°以下,土地利用类型以城镇用地、耕地和草地为主的地区是农业旱情最为严重的地区。 相似文献
3.
【目的】为研究国产高分一号(GF-1)遥感影像在绿洲地区农情基础数据有效采集的可行性,对土壤湿度实施大范围区域监测。【方法】以新疆阿克苏流域为研究区,基于GF-1 WFV影像以及研究区63个土壤表层湿度的实测样点数据,对垂直干旱指数(PDI)和植被调整垂直干旱指数(VAPDI)的土壤湿度监测效果进行比较和验证。【结果】(1)PDI和VAPDI与土壤湿度实测值的决定系数分别为0.589和0.735,各模型满足监测精度要求;(2)在植被覆盖较高的阿克苏绿洲,VAPDI指数模型监测精度高于PDI;(3)从反演的土壤湿度空间分布格局来看,VAPDI对土壤湿度变化更敏感,更能反映出不同植被覆盖程度下土壤湿度的实际水平。【结论】基于GF-1 WFV影像进行流域尺度的土壤湿度监测具有可行性。相比PDI指数模型,VAPDI通过对遥感影像中混合像元进行不同程度的分解,监测精度更高。研究结果能为阿克苏流域表层土壤湿度数据快速有效地采集和动态监测提供理论支持和验证。 相似文献
4.
多时相Sentinel-2影像在浙西北茶园信息提取中的应用 总被引：1，自引：0，他引：1
利用Sentinel-2遥感影像研究一种快速、准确提取茶园空间分布的新方法,可为茶园经济林资源及其动态变化的快速检测提供新的手段。以浙江省西北部为研究区,根据实地调查选取6类典型植被,基于4个季节的Sentinel多光谱影像分析不同植被物候及光谱特征。茶园在5月经历修剪后与其他植被区别较大,根据红边与短波红外波段构建归一化茶园指数（NDTI）。基于新指数建立决策树模型提取茶园,通过谷歌地球对结果进行验证。结果显示:归一化茶园指数可以最大限度扩大茶园与其他植被之间的差距。基于该指数提取茶园的总精度达93.83%,Kappa系数为0.917,成功实现了浙西北茶园信息的提取,证明了使用红边波段提取茶园的潜力。 相似文献
5.
为了解降水对草地植被生长的影响和草地植被变化的关键因子,以1982—2015年间内蒙古草地为研究对象,应用植被指数、降水和草地类型数据,采用皮尔逊相关系数和滞后系数方法,分析内蒙古地区不同草原类型归一化植被指数的降水滞后性.结果表明:(1)草地年降水量由大到小依次为:草甸草原(477.39 mm)、典型草原(391.52 mm)、荒漠草原(247.41 mm),草甸草原7月份降水量达到最大值,而荒漠草原8月份降水量达到最大.(2)草甸草原、典型草原、荒漠草原的归一化植被指数呈现单峰变化规律,荒漠草原的归一化植被指数变化不显著,整个生长季的归一化植被指数波动不大;不同草原类型的年均归一化植被指数值由大到小依次为:草甸草原(0.33)、典型草原(0.23)、荒漠草原(0.14).(3)生长季草原植被归一化植被指数与降水显著相关,草原植被生长对降水存在明显的滞后性,不同月份滞后时间存在差异.9月份草原植被生长对降水的滞后时间为2个月,5—8月份草原植被生长对降水的滞后时间为1个月左右,4月份草原植被生长对降水的滞后不明显.滞后月份降水和归一化植被指数相关系数和显著相关面积占比由大到小的顺序为:荒漠草原、典型草原、草甸草原.因此,归一化植被指数变化(草原植被生长)对降水存在明显的滞后性,可以有效预测牧草的长势和干旱情况. 相似文献
6.
基于多源遥感数据的干旱监测研究 总被引：1，自引：0，他引：1
及时准确地监测干旱可以预防其造成的农作物减产。归一化植被指数(NDVI)在监测植被生长状态、农业干旱方面都表现出了良好的特性。但NDVI对干旱的响应具有一定的滞后性。为了及时准确地监测旱情,本研究将热带降雨测量卫星(TRMM)的降雨数据与NDVI结合起来,构建了基于旬尺度的MNDVI干旱监测模型,并以吉林省农作物生长季为例,通过与历史数据、土壤湿度、叶面积指数(LAI)作相关性分析对其进行验证。结果表明:MNDVI监测的干旱变化图与历史记录有很好的吻合性,表明MNDVI监测干旱的准确性好;将MNDVI和NDVI分别与10 cm和20 cm土层的土壤湿度进行相关性分析,结果表明MNDVI在一定程度上可以消除NDVI监测干旱方面存在的滞后性;将MNDVI和降雨状态指数(PCI)分别与LAI进行时间序列分析,发现MNDVI与LAI有良好的一致性,而PCI与LAI没有一致性,表明MNDVI对植被的生长状态能够及时响应,可以用来监测农业旱情。 相似文献
7.
贵州温度植被干旱的指数（TVDI）特征及其遥感干旱的监测应用 总被引：7，自引：0，他引：7
基于遥感技术的温度植被干旱指数(TVDI)综合了遥感陆面温度或遥感植被指数两类土壤水分检测方法的长处,有效地减小了植被覆盖度的影响,提高了遥感干旱监测的准确性.应用TVDI法和贵州2006年7月和8月,2007年8月的EOS/MODIS遥感资料,分析并揭示了山区复杂独特的NDVI-Ts空间结构特征,反演了贵州表层土壤干旱情况,并与同期当地气象站土壤湿度观测数据进行定量验证,证明TVDI与土壤湿度显著相关.该方法适宜于较大区域、复杂地形的干旱检测与预警. 相似文献
8.
草原植被的分布与面积是草原退化评定的重要指标。以荒漠化草原植被为研究对象,在内蒙古四子王旗试验区域自然光下采植被的高光谱数据,通过构建植被光谱特征指标阈值对植被覆盖地区与非植被覆盖地区进行识别和分类,为低空高光谱遥感进行大面积的识别及数量统计提供依据,为高效,适时的草原监测和退化评价提供理论和技术手段。选择具有代表性归一化植被指数NDVI分析数据规律。结果表明:荒漠化草原阈值区间为0.01~0.9,其中植被阈值区间为0.4~0.9,非植被阈值区间为0.01~0.4,当NDVI阈值取0.4时对有无植被覆盖分类明显,经Kappa系数验证精度达96.2%。高精度的植被识别为后续无人机高光谱遥感提供数据数据支持及理论基础。 相似文献
9.
以新疆天山北坡植被2000-2004年的归一化植被指数为依据,应用灰色预测方法对2005、2006年的地表植被变化情况进行了预测,同时将预测结果划分为7个数值段域,分别对这7个数值区间上的预测精度进行了对比分析,结果表明:研究区域未来2a内,中高植被覆盖度区域的植被衰退减缓,同时INDV≤0.25区域内衰减趋势加剧,减退面积扩大;对地表植被7个数值域的预测中,0.20≤INDV≤0.29的数值段内预测精度最低,平均统计数值为85.34%. 相似文献
10.
火灾后的植被变化与火烧迹地面积是森林火灾反演的重要指标.以2020年3月28日四川省凉山州木里藏族自治县项脚乡火烧迹地为研究对象,依据Sentinel-2卫星影像数据,采用归一化差分植被指数、差分归一化燃烧比、迭代加权多元变化检测算法和追踪识别提取算法,分析该地区火灾前后的植被变化和受灾面积.结果 表明:实验检测的植被变化判别精度为91.95％;提取火烧迹地像元面积精度为90.77％,Kappa系数为0.87. 相似文献
11.
Jacob T. Bushong Jeremiah L. Mullock Eric C. Miller William R. Raun Arthur R. Klatt D. Brian Arnall 《Precision Agriculture》2016,17(4):451-469
When utilizing optical sensors to make in-season agronomic recommendations in winter wheat, one parameter often required is the in-season grain yield potential at the time of sensing. Current estimates use an estimate of biomass, such as normalized difference vegetation index (NDVI), and growing degree days (GDDs) from planting to NDVI data collection. The objective of this study was to incorporate soil moisture data to improve the ability to predict final grain yield in-season. Crop NDVI, GDDs that were adjusted based upon if there was adequate water for crop growth, and the amount of soil profile (0–0.80 m) water were incorporated into a multiple linear regression model to predict final grain yield. Twenty-two site-years of N fertility trials with in-season grain yield predictions for growth stages ranging from Feekes 3 to 10 were utilized to calibrate the model. Three models were developed: one for all soil types, one for loamy soil textured sites, and one for coarse soil textured sites. The models were validated with 11 independent site-years of NDVI and weather data. The results indicated there was no added benefit to having separate models based upon soil types. Typically, the models that included soil moisture, more accurately predicted final grain yield. Across all site years and growth stages, yield prediction estimates that included soil moisture had an R2 = 0.49, while the current model without a soil moisture adjustment had an R2 = 0.40. 相似文献
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Site-specific management units (SSMUs) are fundamental for the implementation of Precision Turfgrass Management. Short-term spatiotemporal variations of soil compaction and turfgrass vigor may be dynamic during a dry down period on natural turfgrass sports fields. This is due to the inverse relationship between soil compaction and soil moisture/drought stress, which may impact SSMU delineation and identification of site-specific deficient areas within a field. The spatiotemporal change of soil moisture, soil compaction, and turfgrass vigor SSMUs [as measured by volumetric water content (VWC), penetration resistance, and normalized difference vegetative index (NDVI)] were evaluated three times during a dry down from rainfall on native soil and sand capped natural turfgrass sports fields. The relationship of penetration resistance and NDVI with VWC was strongest and only significant on the native soil field during the dry down period. In general, as the fields dried, the magnitude of VWC SSMUs and NDVI SSMUs decreased, while the magnitude of penetration resistance SSMUs increased. This phenomenon was more drastic on the native soil field. Significant changes in spatial distributions were observed for VWC SSMUs and penetration resistance SSMUs on the native soil field; however, minimal changes were reported on the sand capped field. The spatial distributions of NDVI SSMUs were minimal on both fields. It is concluded that short-term spatiotemporal variations of SSMUs on sports fields during a dry down can be significant and considerations should be made prior to sampling based on the objective. 相似文献
13.
地表土壤湿度和植被状况的监测及其与沙尘暴发生的关系探讨 总被引：4，自引：0，他引：4
利用NOAA/AVHRR数据,采用单时相乘积法计算土壤湿度,采用NDVI指示地表状况,利用地表土壤相对湿度旬平均值、NDIV旬平均值、风速以及三者的综合值与实测的沙尘暴旬数据,定性和定量分析了中国北方地区土壤湿度、植被覆盖、风速与沙尘暴发生的关系,结果表明风速是影响沙尘暴发生的关键因素,与沙尘暴发生成正比;土壤相对湿度与地面植被在一定程度上影响了沙尘暴的发生,与沙尘暴的发生成反比;由平均风速、土壤相对湿度和NDVI组成的综合因子与沙尘暴发生次数及能见度的相关性高于风速与后二者的相关性,因此综合因子具有指示和监测沙尘暴发生的潜力。 相似文献
14.
Identification of areas with similar restrictions to crop productivity could improve the efficiency to manage agricultural systems, guarantee stable yields, and reduce the effect of droughts in rainfed systems. The ability of any vegetation index to discriminate N and moisture-related changes in leaf reflectance would present an important advantage over the present diagnostic system which involves soil-testing for moisture and available N. The purpose of the study was to calibrate different vegetation indices regarding their capacity to identify water and nitrogen availability for rainfed corn crops in the semiarid Pampas of Argentina. A field experiment with corn with a control without fertilization (N0), and fertilized with 120 kg ha?1 of nitrogen (N120) was used. Two sites, Low (L) and High (H), were identified within the field, according to their altimetry, a multi-spectral aerial photography was taken from a manned airplane during flowering stage of the corn crop, and four spectral indices were calculated (NDVI, green NDVI, NGRDI, (NIR/GREEN)-1). At six georeferenced points at each site soil texture, organic matter, available phosphorus, nitrogen and moisture contents as well as corn aerial biomass and grain yield were determined. The two sites differed in most of the evaluated soil properties, crop biomass and grain yield. The spectral information obtained at crop flowering showed clear differences between sites H and L for all four indices, indicating that any of these would be able to detect the differences in soil moisture and fertility among these environments. Both (NIR/GREEN)-1 and green NDVI had the best correlation with crop yield determined in the field, and therefore could be considered most appropriate for estimating corn yields from images taken at flowering. For estimation of N requirements, green NDVI differentiated best between fertilized and non-fertilized crop in the moisture limited environment (H), while (NIR/GREEN)-1 performed better in the site where soil moisture was non-limiting (L). 相似文献
15.
不同作物农田的土壤呼吸与高光谱的关系 总被引：1，自引：1，他引：0
为研究种植不同作物的农田土壤呼吸与高光谱植被指数的关系,选取3种典型夏熟作物冬小麦、油菜籽、蚕豆,于2018年10月至2019年5月进行田间随机区组试验,观测土壤呼吸、土壤温度、土壤湿度的季节动态,并观测NDVI(归一化植被指数)、DVI(差值植被指数)、RVI(比值植被指数)、EVI(增强植被指数)、PRI(光化学植被指数)5种高光谱植被指数和叶绿素SPAD值。结果表明:冬小麦、油菜籽、蚕豆田土壤呼吸季节平均值分别为1.78±0.15、1.35±0.27、1.61±0.22μmol·m^-2·s-1,冬小麦田土壤呼吸显著高于油菜籽田(P<0.05),冬小麦与蚕豆田以及油菜籽与蚕豆田土壤呼吸无显著差异(P>0.05)。冬小麦田土壤呼吸残差(基于温度指数方程的模拟值与实测值的差值)与NDVI、RVI、EVI、PRI、SPAD值均存在显著(P<0.05)或极显著(P<0.01)的相关关系,蚕豆田土壤呼吸残差与NDVI、DVI、RVI、EVI、PRI均存在极显著(P<0.01)相关关系,而油菜籽田土壤呼吸残差与上述植被指数均不存在显著的相关关系,这可能与油菜籽3-4月份花期叶片退化有关。在冬小麦和蚕豆田,可分别建立基于土壤温度、NDVI、RVI、PRI、SPAD值以及土壤温度、RVI的土壤呼吸模型,而油菜籽田土壤呼吸的季节变化仅与土壤温湿度和SPAD值有关。 相似文献
16.
Olga S. Walsh A. R. Klatt J. B. Solie C. B. Godsey W. R. Raun 《Precision Agriculture》2013,14(3):343-356
Previous studies have shown the importance of soil moisture (SM) in estimating crop yield potential (YP). The sensor based nitrogen (N) rate calculator (SBNRC) developed by Oklahoma State University utilizes the Normalized Difference Vegetation Index (NDVI) and the in-season estimated yield (INSEY) as the estimate of biomass to assess YP and to generate N recommendations based on estimated crop need. The objective was to investigate whether including the SM parameter into SBNRC could help to increase the accuracy of YP prediction and improve N rate recommendations. Two experimental sites (Lahoma and Perkins) in Oklahoma were established in 2006/07 and 2007/08. Wheat spectral reflectance was measured using a GreenSeeker? 505 hand-held optical sensor (N-Tech Industries, Ukiah, CA). Soil–water content measured with matric potential 229-L sensors (Campbell Scientific, Logan, UT) was used to determine volumetric water content and fractional water index. The relationships between NDVI, INSEY and SM indices at planting and sensing at 5, 25, 60 and 75-cm depths versus grain yield (GY) were evaluated. Wheat GY, NDVI at Feekes 5 and soil WC at planting and as sensed at three depths were also analyzed for eight consecutive growing seasons (1999–2006) for Lahoma. Incorporation of SM into NDVI and INSEY calculations resulted in equally good prediction of wheat GY for all site-years. This indicates that NDVI alone was able to account for the lack of SM information and thus lower crop YP. Soil moisture data, especially at the time of sensing at the 5-cm depth could assist in refining winter wheat YP prediction. 相似文献
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本水分仪是根据水土流失遥测预报科研项目的要求而制成的。为了遥测土壤水分,以含水土壤块作为电介质,测取土壤的水分——电容特性曲线。结果表明,土壤的电容量随土壤水分的增加而明显地增加,受其它因素的影响较少。仪器的传感器埋设于土壤中,它具有三个电极和间接的极间介质。相应地,它的测量电路采用具有三个输入端的变压器电桥,从而免除了电极边缘和外界干扰的影响。土壤水分的计量及其温差的补偿是在经验公式的基础上,通过模拟计算电路的运算,便可以在仪表上直接读出土壤含水量的百分值;也可以通过模——数转换而实现打印记录。 相似文献
19.
研究以东北黑土区内的依安、拜泉县为研究区,在收集两县的气候、图像等资料的基础上,利用RS和GIS方法来讨论黑土区气候生产潜力与归一化植被指数(NDVI)的变化和二者的关系。结果表明,研究区在1979-2001年的22年间土地利用/覆盖变化的总体趋势为:耕地面积和居民地面积表现为较大幅度增加,分别增加了46 559和8 152 hm2,而草地面积则减少了62 163 hm2;归一化植被指数与气候生产潜力在研究区的分布趋势有一致性,由西南向东北数值逐渐升高,最高值出现在拜泉县的东北部,最低值出现在依安县的西南部。通过以上结果提取数据分析进行黑土区气候生产潜力与植被指数相关性的研究,结果为气候生产潜力与归一化植被指数呈显著的正相关性。 相似文献