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1.
Giorgos Papadavid Dionysia Fasoula Michael Hadjimitsis P. Skevi Perdikou Diofantos G. Hadjimitsis 《Central European Journal of Geosciences》2013,5(1):1-11
In this paper, Leaf Area Index (LAI) and Crop Height (CH) are modeled to the most known spectral vegetation index — NDVI — using remotely sensed data. This approach has advantages compared to the classic approaches based on a theoretical background. A GER-1500 field spectro-radiometer was used in this study in order to retrieve the necessary spectrum data for estimating a spectral vegetation index (NDVI), for establishing a semiempirical relationship between black-eyed beans’ canopy factors and remotely sensed data. Such semi-empirical models can be used then for agricultural and environmental studies. A field campaign was undertaken with measurements of LAI and CH using the Sun-Scan canopy analyzer, acquired simultaneously with the spectroradiometric (GER1500) measurements between May and June of 2010. Field spectroscopy and remotely sensed imagery have been combined and used in order to retrieve and validate the results of this study. The results showed that there are strong statistical relationships between LAI or CH and NDVI which can be used for modeling crop canopy factors (LAI, CH) to remotely sensed data. The model for each case was verified by the factor of determination. Specifically, these models assist to avoid direct measurements of the LAI and CH for all the dates for which satellite images are available and support future users or future studies regarding crop canopy parameters. 相似文献
2.
Biomass can indicate plant growth status, so it is an important index for plant growth monitoring. This paper focused on the
methodology of estimating the winter wheat biomass based on hyperspectral field data, including the LANDSAT TM and EOS MODIS
images. In order to develop the method of retrieving the wheat biomass from remote sensed data, routine field measurements
were initiated during periods when the LANDSAT satellite passed over the study region. In the course of the experiment, five
LANDSAT TM images were acquired respectively at early erecting stage, jointing stage, earring stage, flowering stage and grain-filling
stage of the winter wheat, and the wheat biomass was measured at each stage. Based on the TM and MODIS images, spectral indices
such as NDVI, RDVI, EVI, MSAVI, SIPI and NDWI were calculated. At the same time, the hyperspectral field data was used to
compute the normalized difference in spectral indices, red-edge parameters, spectral absorption, and reflection feature parameters.
Then the correlation coefficients between the wheat biomass and spectral parameters of the experiment sites were computed.
According to the correlation coefficients, the optimal spectral parameters for estimating the wheat biomass were determined.
The bestfitting method was employed to build the relationship models between the wheat biomass and the optimal spectral parameters.
Finally, the models were used to estimate the wheat biomass based on the TM and MODIS data. The maximum RMSE of estimated
biomass was 66.403 g/m2. 相似文献
3.
As wheat represents the main staple food and strategic crop in Egypt and worldwide and since remote sensing satellite imagery is the tool to obtain synoptic, multi-temporal, dynamic, and time-efficient information about any target on the Earth, the main objective of the current study is to use remote sensing satellite imagery to generate remotely sensed empirical preharvest wheat yield prediction models. The main input parameters of these models are spectral data either in the form of spectral reflectance data released from Satellite Pour l’Observation de la Terre (SPOT) 4 satellite imagery or in the form of spectral vegetation indices. The other input factor is leaf area index (LAI) that was measured by LAI Plant Canopy Analyzer. The four spectral bands of SPOT4 imagery are green, red, near-infrared, and middle infrared; the five vegetation indices that are forms of ratios between red and near-infrared bands are normalized difference vegetation index, ratio vegetation index, soil-adjusted vegetation index, difference vegetation index, and infrared percentage vegetation index. Another vegetation index is green vegetation index that is calculated through a ratio between green band and near-infrared band. Each of the above-mentioned factors was used as an input factor against wheat yield to generate wheat yield prediction models. All generated models are site-specific limited to the area and the environment and could be applicable under similar conditions in Egypt. The study was carried out in Sakha experimental station by using the dataset from two wheat season 2007/2008 and 2009/2010. The total wheat area was 1.3 ha cultivated by Sakha 93 cultivar. Modeling and validation process were carried out for each season independently. Modeled yield was tested against reported yield through two common statistical tests; the standard error of estimate between modeled yield and reported yield, and the correlation coefficient for a direct regression analysis between modeled and reported yield with each generated model. Generally, as shown from the correlation coefficient of the generated models, green and middle infrared bands did not show good accuracy to predict wheat yield, while the other spectral bands (red and near-infrared) bands showed high accuracy and sufficiency to predict yield. This was proven through the correlation coefficient of the generated models and through the generated models with the wheat crops for the two seasons. Accordingly, the green vegetation index that is generally calculated from green and near-infrared bands showed relatively lower accuracy than the rest of the vegetation index models that are calculated from red and near-infrared bands. LAI showed high accuracy to predict yield as shown from the statistical analysis. The models are applicable after 90 days from sowing stage and applicable in similar regions with the same conditions. 相似文献
4.
5.
Imaging spectrometry for geological remote sensing 总被引：2，自引：0，他引：2
Without use of imaging spectrometry, imaging of the Earth's surface from aircraft and from spacecraft is hampered by the low spectral resolution and limited number of spectral bands, typically less than 10 bands of 100 to 200 nm width. Imaging spectrometry in remote sensing concerns the acquisition of image data in many narrow (< 40 nm wide) contiguous spectral bands with the ultimate goal of producing detailed spectral reflectance curves for each pixel in the image. Many minerals and rocks have unique spectral signatures with characteristic absorption features that are 20 to 40 nm wide. Imaging spectrometers allow to depict these narrow features and thus map surface mineralogy based on spectral image characterization. This paper gives a review of imaging spectrometry and addresses the following topics: airborne and spaceborne systems available, spectral and geometric data pre-processing, atmospheric correction, techniques for thematic data analysis, and applications in the field of geological remote sensing. In the final section a case study is described where imaging spectrometer data is used for mapping surface mineralogy in a hydrothermal alteration system, thus guiding gold exploration. 相似文献
6.
Mats Söderström 《Environmental Geology》1992,20(2):85-92
Spatial distribution of the salinity in groundwater used for irrigation and irrigated soil was investigated on Gammouda Plain, an important agricultural area in central Tunisia. Samples from 188 wells and irrigated fields were obtained in November 1988. Groundwater salinity ranges from 2 to 30 dS/m, and 50 percent of the sampled wells have a salinity higher than 3.5 dS/m. In most cases the soil samples have a salinity higher than 4 dS/m. Maps of salinity and leaching were produced by a geostatistical interpolation method based on ordinary kriging. In a great part of the plain, the estimated salinity levels indicate that there is a considerable risk for reduced yield potential for several of the most important crops grown. A rough estimation of the leaching fraction was computed from the soil and water salinity. Computer-based models of salinity ought to facilitate the general planning of irrigation management and crop selection. 相似文献
7.
国外农情遥感监测系统现状与启示 总被引：19，自引：1，他引：18
大范围的可靠农情信息对粮食市场及相关政策的制定至关重要,是保障区域及全球粮食安全的重要依据,在全球气候变化、人口增长、土地利用/覆盖变化剧烈的背景下,对这一信息的需求也更加迫切.传统农情信息的获取依赖于庞大的调查队伍和大量的调查工作,信息的获取存在成本高、时效性差和结果受主观影响大的缺点.伴随着近30年遥感技术本身及其在农情信息获取领域能力的提升,一些国家与国际组织建设了各自的农情遥感监测系统,并开展了运行化的监测.对美国、欧盟、FAO、加拿大、巴西、阿根廷、俄罗斯、印度等主要的农情遥感监测系统进展进行了详细的介绍,并通过对这些系统的分析得到一些农情监测系统建设的启示.指出作物种植面积估算、单产预测、长势监测、旱情监测是农情遥感监测中最主要的4个主题.在面积估算方面,各个系统在遥感技术不断发展的同时对地面调查的依赖并没有减少,甚至得到了强化,这与遥感降低地面调查的初衷相违背,导致遥感技术在大范围农情监测中的潜力没有得到充分发挥,在单产预测方面,需要发展独立的遥感预测方法.提升遥感的作用是未来一段时间内农情遥感监测系统建设的主要方向. 相似文献
8.
Image classification is one of the crucial techniques in detecting the crops from remotely sensed data. Crop identification and discrimination provide an important basis for many agricultural applications with various purposes, such as cropping pattern analysis, acreage estimation, and yield estimation. Accurate and faster estimation of crop area is very essential for projecting yearly agriculture production for deciding agriculture policies. Remote sensing is a technique that allows mapping of large areas in a fast and economical way. In many applications of remote sensing, a user is often interested in identifying the specific crop only while other classes may be of no interest. Indian Remote Sensing Satellite (IRS-P6) LISS IV sensor image of spatial resolution 5.8 m has been used to identify the sugarcane crop for the Chhapar village of Muzaffarnagar District, India. Classification of satellite data is one of the primary steps for information extraction for crop land identification. In recent years, decision tree approach to image analysis has been developed for the assessment and improvement of traditional statistically based image classification. In this study, ISODATA, MLC, and vegetation indices based decision tree approaches are used for classifying LISS IV imagery. The 11 vegetation index images have been generated for decision tree classification. All the three methods are compared and it is found that the best performance is given by the decision tree method. Vegetation indices based decision tree method for sugarcane classification, the user’s accuracy, producer’s accuracy, overall accuracy, and kappa coefficient were found 88.17, 86.59, and 87.93% and 0.86 respectively. 相似文献
9.
岩石单元的结构、构造、差异风化和出露状况在遥感图像上综合表现为图形纹理特征即“图”标志，其矿物成分和组合则表现为光谱特征即“谱”标志.传统遥感岩石单元分类以利用其光谱特征为主，图形纹理特征为辅，因此分类精度有限.以新疆维吾尔自治区与甘肃省交界的北山西段为研究区，开展岩石单元图形指数和光谱指数协同分类方法研究.基于Worldview-2全色图像构建的图形指数，能够量化岩石单元的层理、构造、展布形态和微地貌等特征，包括0°和45°定向滤波图像及灰度共生矩阵计算出的同质性和异质性特征图像、熵特征图像；光谱指数基于Worldview-2多光谱图像和ASTER（Advanced Spaceborne Thermal Emission and Reflection Radiometer）短波红外波段图像利用比值、和-差方法构建.多源遥感图像构建的光谱指数其光谱波段涵盖可见光-近红外及短波红外，包括RI（Ratio index）ASTER、SI（Spectral index）ASTER、SIWorldview-2.采用面向对象方法对建立的图谱指数进行多尺度分割，依据不同岩石单元出露规模建立适宜的分割尺度，利用光谱指数自动提取相应岩石信息，实现岩石单元自动分类.结果表明，实验区基于图谱协同方法共划分出17类岩石单元，总体精度达到83.62%，而单独利用Worldview-2和ASTER图像，仅划分出13类和14类岩石单元.提出的图谱协同岩石分类方法可为我国西部高海拔深切割无人区地质调查及找矿工作提供新思路和遥感技术支撑. 相似文献
10.
Shanshan Wang Xi Chen Quan Wang Pingheng Li Xiaoming Cao 《Environmental Earth Sciences》2012,65(1):11-20
Water availability is one of the most important factors limiting photosynthetic assimilation of carbon dioxide and growth
of individual plants in terrestrial ecosystems. Water use efficiency (WUE) of plants has been widely assessed using ecological
methods in field measurements; however, approaches for remotely sensing WUE are still lacking, particularly in arid ecosystems.
In this study, a comprehensive analysis of diurnal WUE via spectral indices in arid ecosystems was assessed. Analyses were
conducted on a native dominant desert shrub, Tamarix ramosissima, in its original habitat on the southern periphery of the Gurbantunggut Desert, China. Based on diurnal measurements of spectral
reflectance, photosynthesis, and micrometeorological variables, simple and useful spectral indices for estimating diurnal
WUE at the assimilative organ scale were explored. From six types of spectral indices, ranging from simple to sophisticated,
the best wavelength domains for a given type of index were determined by screening all combinations using correlation analysis.
The coefficient of determination (R
2), ranging from 0.19 to 0.60, for WUE was calculated for all indices derived from spectra taken from the assimilative organs.
With only two wavelengths and a significant correlation coefficient (R
2 = 0.60, P < 0.001), the simple ratio (SR) type index was the most sensitive to WUE among all of the indices. Furthermore, SR is a useful
indicator to determine the dynamic and diurnal processes of photosynthesis and transpiration of T. ramosissima. Although it has a few weaknesses, SR serves as a simple and robust indicator of WUE in arid ecosystems. 相似文献
11.
成矿金属元素的溶解性分析和测试技术发展 总被引：1，自引：0，他引：1
成矿过程中金属元素的溶解性是地球化学研究的一个重要领域.探索开放、非平衡状态下地质流体中金属元素的溶解性有助于了解矿床成因和成矿机制.成矿体系的温度、压力和成矿流体的盐度、pH值、fH2O、fHCl及络合物配体(F-、Cl-、S2-等)的浓度等均对成矿金属元素的溶解性有着重要影响.对于成矿体系状态、近年来国内外关于成矿金属元素溶解性的研究及人工合成流体包裹体、傅里叶红外光谱、显微激光拉曼光谱、电感耦合等离子体质谱法、扩展X射线吸收精细结构和紫外-可见光谱技术在金属元素溶解性方面的应用进行了阐述;认为热液金刚石压腔与拉曼光谱仪联合进行的高温谱学技术可以为实现成矿模拟实验和进行谱学原位测量进而解决成矿流体中金属元素的溶解性问题提供一条新思路,具有广阔的前景. 相似文献
12.
农业用水是人类开发利用水资源以及影响生态系统的主要扰动因素,科学定量农业用水是合理配置与调控区域水资源的基础工作。传统的农业用水统计只是记录了可测量的用水量,而水足迹则完整刻画了人类活动对水资源系统的压力表现。从水足迹理论出发,采用Cropwat软件计算了新疆1988—2015年近20种农作物生产水足迹总量,并利用Mann-Kendall趋势和突变检验的方法,分析了28年间新疆农作物水足迹的时空变化,探讨了农作物水足迹驱动因素及机制。结果表明：新疆农作物水足迹在28年间总量增加了256%;水足迹序列在2005年前后增长出现了突变,后一阶段增长率是前一阶段的3倍以上;从农作物水足迹中蓝水足迹与绿水足迹的构成看,农作物绿水足迹呈持续增加趋势,但其在农作物水足迹总量中的比例略有下降。进一步分析表明,农业种植规模的快速扩张是新疆农作物水足迹大幅度增加的根本原因,而脱贫致富、扶贫攻坚等经济发展需求下的政策（战略）支持是农业种植规模（灌溉面积）持续快速增长的核心驱动力。通过探究农作物水足迹的变化及原因,揭示了新疆农业用水的时空变化,以及农作物水足迹与国家、地方政策和社会活动之间的关系,可为深入解析新疆农业增长与水资源开发利用及生态环境之间的时空演化关系和相关决策与政策制定提供参考。 相似文献
13.
This study examines linear spectral unmixing technique for mapping the surface soil types using field spectroscopy data as the reference spectra. The investigated area is located in North Sinai, Egypt. The study employed data from the Landsat 7 ETM+ satellite sensor with improved spatial and spectral resolution. Mixed remotely sensed image pixels may lead to inaccurate classification results in most conventional image classification algorithms. Spectral unmixing may solve this problem by resolving those into separate components. Four soil type end-members were identified with minimum noise fraction and pixel purity index analyses. The identified soil types are calcareous soils, dry sabkhas, wet sabkhas, and sand dunes. Soil end-member reference spectra were collected in the field using an ASD FieldSpec Pro spectrometer. Constrained sum-to-one and non-negativity linear spectral unmixing model was applied and the soil types map was produced. The results showed that linear spectral unmixing model can be a useful tool for mapping soil types from ETM+ images. 相似文献
14.
Xianglian Li Xiusheng Yang Qiong Gao Yu Li Suocheng Dong 《Frontiers of Earth Science》2009,3(2):198-207
This study presents a basin-scale integrative hydrological, ecological, and economic (HEE) modeling system, aimed at evaluating
the impact of resources management, especially agricultural water resources management, on the sustainability of regional
water resources. The hydrological model in the modeling system was adapted from SWAT, the Soil and Water Assessment Tool,
to simulate the water balance in terms of soil moisture, evapotranspiration, and streamflow. An ecological model was integrated
into the hydrological model to compute the ecosystem production of biomass production and yield for different land use types.
The economic model estimated the monetary values of crop production and water productivity over irrigated areas. The modeling
system was primarily integrated and run on a Windows platform and was able to produce simulation results at daily time steps
with a spatial resolution of hydrological response unit (HRU). The modeling system was then calibrated over the period from
1983 to 1991 for the upper and middle parts of the Yellow River basin, China. Calibration results showed that the efficiencies
of the modeling system in simulating monthly streamflow over 5 hydrological stations were from 0.54 to 0.68 with an average
of 0.64, indicating an acceptable calibration. Preliminary simulation results from 1986 to 1995 revealed that water use in
the study region has largely reduced the streamflow in many parts of the area except for that in the riverhead. Spatial distribution
of biomass production, and crop yield showed a strong impact of irrigation on agricultural production. Water productivity
over irrigated cropland ranged from 1 to 1640 USD/(ha·mm−1), indicating a wide variation of the production conditions within the study region and a great potential in promoting water
use efficiency in low water productivity areas. Generally, simulation results from this study indicated that the modeling
system was capable of tracking the temporal and spatial variability of pertinent water balance variables, ecosystem dynamics,
and regional economy, and provided a useful simulation tool in evaluating long-term water resources management strategies
in a basin scale. 相似文献
15.
K. Naddafi N. Jaafarzadeh M. Mokhtari B. Zakizadeh M. R. Sakian 《International Journal of Environmental Science and Technology》2005,1(4):273-277
Wastewater reclamation and reuse is one of the best alternatives for compensating water shortages. Water supply and environmental conservation can be met through wastewater reclamation. Principally, treated wastewater is a reliable water resource, especially for periodic droughts and in arid areas. This study designed and implemented to investigate the full scale application of effluent for irrigation use. A major objective of this study is to assess on health effects and feasibility of crop irrigation by using stabilization ponds effluent of southern Hovaizeh Wastewater Treatment Plant located in Khuzestan Province. Two experimental plots of about 0.5 ha. were constructed. One of the plots irrigated by stabilization pond effluent and the other irrigated by Nisan River water. Basic parameters in two plots such as type of cultivated crops, amount of fertilizer use and lack of soil contamination have been similar in both. The only difference was the type of water applied for irrigation of agricultural crops. It was shown that high salinity of soil reduced the growth rate of agricultural crops. So, removing salinity from area should be performed before cultivation. Results gained on agricultural crops growth in two studied plots showed the growth rate and quality of crops were increased by using of stabilization pond effluent in comparison with Nissan River water. 相似文献
16.
Extracting building stock information from optical satellite imagery for mapping earthquake exposure and its vulnerability 总被引：2，自引：1，他引：1
The paper focuses on automatic extraction of building stock information for quantifying physical exposure and its vulnerability from High and Very High Resolution (VHR) optical satellite imagery. We use two case studies. In Sana’a (Yemen), we use automatic techniques to extract the building stock as well as building height that is used to characterize its vulnerability. In Port-au-Prince (Haiti)—the area affected by the 2010 earthquake—we map the building stock based on a pre-disaster imagery, and we show the added value of area-based information when added to point-based damage assessment from visual change interpretation of post-disaster aerial images. This paper shows that VHR imagery can be used to locate and quantify the building stock and its height. This paper also shows that damages measured from changes detected from pre- and post-disaster imagery can in principle map and provide vulnerability information related to the structural fragility of the building stock. 相似文献
17.
Abhishek Danodia V K Sehgal N R Patel R Dhakar J Mukherjee S K Saha A Senthil Kumar 《Journal of Earth System Science》2017,126(5):69
Amount of available net energy and its partitioning into sensible, latent and soil heat fluxes over an agricultural landscape are critical to improve estimation of evapotranspiration and modelling parse (ecosystem modelling, hydrological and meteorological modelling). Scintillometry is a peculiar and robust methodology to provide structure parameter of refractive index and energy balance. Scintillometer has proven for assessment of sensible and latent heat flux, which is based on the principle of Monin–Obukhov similarity theory. Scintillometer has been installed in the agricultural experimental farm of ICAR-Indian Agricultural Research Institute, New Delhi, with a spatial covering path length of 990 m of irrigated and cultivable agricultural landscape. This paper discusses the patterns of energy flux as diurnal and seasonal basis at scintillometer path which was mainly covered by maize in Kharif and wheat in Rabi season during a crop growing seasons of 2014–2015. The biophysical parameters (leaf area, soil moisture, crop height) were recorded at a temporal resolution of fortnight basis along the path length at usual sampling distance. The Bowen ratio value for both Kharif and Rabi season was 0.76 and 0.88, respectively by scintillometer. Leaf area index had a significantly positive correlation with latent heat flux (\(R^{2} =0.80\)) while a significantly negative correlation with sensible heat flux (\(R^{2}{=}-0.79\)). Soil moisture had a significant negative correlation with sensible heat flux (\(R^{2}{=}-0.68\)). The average evapotranspiration from crop land was \(1.58 ~\hbox {mm d}^{-1}\) and total evapotranspiration was 543 mm over the 12 months study period. This study defines that large aperture scintillometer is robust instrument which can evaluate energy flux over a large area with a long term series time domain. Moreover, further studied should be conducted to use in crop simulation modelling, developing of new model with calibration and validation of remote sensing energy balance algorithm, etc. 相似文献
18.
Shiyong Yan Yi Li Zhiguo Li Guang Liu Zhixing Ruan Zian Li 《Environmental Earth Sciences》2018,77(23):773
Mountain glacier is one of the extremely sensitive indicators for climate change, and its surface motion distribution and corresponding variation are valuable information for understanding ice mass exchange and glacier dynamics. This paper presents the long-term ice velocity distributions of Inylchek Glacier in the Tianshan region by pixel-tracking algorithm with time-series Landsat imagery acquired during 2006–2016. Then the monitored ice motion fields of Inylchek Glacier were carefully analyzed and revealed a generally similar spatial distribution characteristic. Most of the ice of the North Inylchek Glacier remains in a stagnant state except for the upstream part, but a relatively high velocity of 20–40 cm/day with an RMSE of 3 cm/day was observed on most part of the South Inylchek Glacier, except for the slow-moving glacier terminus. We also state the glacier dynamics around Lake Merzbacher and their possible effect on its glacier lake outburst flood (GLOF) risk. Besides, the surface velocity distribution on South Inylchek Glacier surface during the ablation period from 2014 to 2016 was also established and also compared with annual velocity. The corresponding difference yields that there is a positive relation between ice motion and temperature variation. Therefore, the time-series ice surface motion yielded by the Landsat imagery thus could provide us an efficient and low-cost way to analyze the current state and changes in glaciers, thanks to the continuous and regular spaceborne observations provided by the Landsat satellites. 相似文献
19.
Structural control on the kinematics of the deep-seated La Clapière landslide revealed by L-band InSAR observations 总被引：2，自引：2，他引：0
The objective of this work is to document the deformation pattern of the deep-seated La Clapière landslide for the period 2007–2010 from the combination of L-band synthetic aperture radar (SAR) interferograms, ground-based total station measurements and identification of the slope geomorphological structures. The interferograms are calculated for pairs of ALOS/PALSAR images at a time interval of 46 days. The displacement field derived from the interferograms reveals a non-uniform displacement gradient from the top (subsidence) to the bottom (accumulation). Vertical velocities are calculated from the unwrapped phase values and are in good agreement with ground-based measurements. The results demonstrate the potential of L-band ALOS/PALSAR imagery for the monitoring of active landslides characterized by complex kinematic patterns and by important changes in the soil surface backscattering in time. 相似文献
20.
玄武岩与碳酸盐岩是岩浆岩和沉积岩的典型代表,两大岩类之间的差异性决定了两者具有不同的形状特征和抗风化能力。本文以会泽铅锌矿区为例,研究如何以定量方式表达这种差异。基于5m分辨率的Rapid Eye遥感影像,利用面向对象分类技术分离玄武岩和碳酸盐岩图斑,计算出代表斑块形态特征和破碎化信息的10个景观指数,并引用主成分分析法消除指数之间的信息冗余,更合理地表达指数意义。结果显示,面向对象分类技术分离出的裸岩斑块可单独计算景观指数,分析效果良好;景观指数分析和主成分分析结果一致,显示出玄武岩破碎度较高,形状呈不规则块状或团块状,碳酸盐岩破碎度比玄武岩低,形状呈现条带状,分析结果与两者的岩性特征以及遥感影像图形特征相符。研究对于岩浆岩和沉积岩的岩性自动识别有一定的指导作用。 相似文献