Evaluation of groundwater potential zones using Remote Sensing data in upper Vaigai river basin,Tamil Nadu,India

The area of upper Vaigai river basin covering parts of Madurai and Theni Districts, in Tamil Nadu, faces acute water scarcity and chronically drought prone. The groundwater resources in the area have not been fully exploited. The present investigation has been made to evaluate the potential zones for groundwater targeting using IRS - ID LISS III geocoded data on 1:50,000 scale. The geology, geomorphology, lineament tectonic maps are generated and integrated to evaluate the hydrogeomorphological characteristics of the upper Vaigai river basin and demarcate the groundwater potential zones. A number of geomorphic units have been observed. Out this the more groundwater prospective units are buried pediment medium, buried pediment deep, flood plain, bajada and lineament and intersection of lineaments. Non potential areas like pediment, pediment inselberg, shallow pediment and pediplain were identified.     

Impact of tsunami on aquaculture farms along the nagapattinam coast zone,Tamil Nadu,India

The tsunami waves triggered by underwater earthquake with a focal depth of 30 km near the Sumatra Island distressed the entire coast of Tamil Nadu. The worst affected coastal region is Nagapattinam, particularly from Nagoore to Vailankanni. The impact of tsunami had multidimensional effect, killing most of the fishermen communities, devastating the coastal huts and damaging the coastal aquaculture resources. The present study has been carried out to find the impact of tsunami on the aquaculture small farmland owners along the coast using pre (December 18, 2004) and post January 6, 2005) IRS P6 data. The study includes the extent of damage caused to the farms by saltwater intrusion; sand inundation, total destruction of farms. The results indicate that, there have been incredible damage caused to the farmers beyond recovery in short span of time.     

Geomatics Based Analysis of Predicted Sea Level Rise and its Impacts in Parts of Tamil Nadu Coast,India

The coastal zones around the world are very densely populated and hence heavily packed with related infrastructures. So, the territorial nations have obvious apprehensions against the IPCC SRES (Intergovernmental Panel on Climate Change, Special Report on Emission Scenario) predicted sea level rise, as it would cause flooding of the low lying coasts and also other related chains of environmental endangers. This has driven these nations to initiate research studies in multiple directions for scientifically evaluating the phenomenon and impacts of sea level rise using all possible technologies including the Geomatics which possesses unique credentials in geosystem mapping. But certain advanced virtues available with Geomatics technology are yet to be capitalized deservingly in this. In addition, almost all the earlier studies have focused only on the impacts of sea level rise (SLR) and not on the predicted shift of high tide line (HTL) and the related inter tidal activities, which would cause a series of environmental disaster. Hence, the present research study was undertaken in a test site of 750 km² in central Tamil Nadu coast to visualize the areas prone to submergence due to predicted SLR and areas prone to environmental disasters/degradation viz. erosion, deposition, salination of agricultural lands, pollution of aquifers, etc. due to predicted shift of HTL, using digital elevation models derived from SRTM data (Shuttle Radar Topographic Mission), geomorphology and land use/cover maps interpreted using IRS P6 LISS IV satellite data. The paper narrates the certain newer concepts and methodologies adopted in the study and the results.     

Prioritisation of sub-watersheds based on earth observation data of agricultural dominated northern river basin of India

The Upper Tons River Basin of North India has been selected for prioritisation of sub-watersheds (SW) based on morphometric parameters with respect to groundwater derived from topographic sheets and CARTOSAT data. There are 10 SW have been delineated in the region, high stream frequency (F_s) values of SW (1–5) and SW-9 indicated the occurrence of steep slopes, less permeable rocks, greater runoff, less infiltration possibility. Further, these regions have been predicted as poor groundwater potentialities. SW-2 has been identified as poorest groundwater potential zone, whereas SW-4 and SW (6–8) regions possess good permeable bed rocks. The Drainage density (D_d) map demonstrated that the middle south-west region possesses higher D_d whereas northeastern regions contain lower D_d. Further, the areal parameters indicate elongated shape of the basin, hilly region has moderate to steeper ground slope. The outcomes of work have potential to manage groundwater and to ameliorate the flash flood and droughts.     

利用GPS反射信号遥感全球海态

最近几年，迅速发展一种新的空基海洋遥感技术。它在低轨卫星上接收经海面或地面反射的GPS信号，通过分析C／A或P码的相关函数波形及其后沿，荻得全球海面平均高度、浪高、海面风场以及土壤湿度等，提供海洋中尺度涡旋发展、演变信息，监测和分析高纬地区冰层厚度。它采用无源探测方法，具有成本低、荻取数据量多和快速等突出特点，是传统卫星高度计探测的重要补充和发展。该文讨论了这项技术发展现状、反射信号的时间延迟以及海态参数计算等关键技术；也给出作者利用掩星观测资料分析得到的海面反射回波一些重要结果。     

Predicting agricultural drought in eastern Rajasthan of India using NDVI and standardized precipitation index

In the present study, prediction of agricultural drought has been addressed through prediction of agricultural yield using a model based on NDVI-SPI. It has been observed that the meteorological drought index SPI with different timescale is correlated with NDVI at different lag. Also NDVI of current fortnight is correlated with NDVI of previous lags. Based on the correlation coefficients, the Multiple Regression Model was developed to predict NDVI. The NDVI of current fortnight was found highly correlated with SPI of previous fortnight in semi-arid and transitional zones. The correlation between NDVI and crop yield was observed highest in first fortnight of August. The RMSE of predicted yield in drought year was found to be about 17.07 kg/ha which was about 6.02 per cent of average yield. In normal year, it was 24 kg/Ha denoting about 2.1 per cent of average yield.     

江西盛源火山盆地遥感地质解译与铀矿找矿前景分析

遥感地质解译和异常信息提取是遥感地质学的重要研究内容之一。为分析在江西盛源火山盆地中寻找铀矿的前景,以ALOS,SPOT5和ETM+等多源遥感数据为信息源,结合数字高程模型(DEM),对该盆地进行了遥感地质解译和遥感蚀变异常信息提取与筛选,重点提取与铀多金属矿有关的地层、断裂构造、火山机构和蚀变异常等成矿信息;并结合已有地质资料,在Arc GIS平台上开展基于遥感数据的成矿地质条件综合分析和找矿预测,提出了3个找矿有利区,为当地矿产资源勘查和资源评价提供基础数据和参考依据。     

Assessment and planning for integrated river basin management using remote sensing,SWAT model and morphometric analysis (case study: Kaddam river basin,India)

Abstract

River basin assessment is crucial for water management and to address the watershed issues. So, an integrated river basin management and assessment model using morphometric assessment, remote sensing, GIS and SWAT model was envisaged and applied to Kaddam river basin, Telangana state, India. Morphometric results showed high drainage density ranging from 2.19 to 5.5?km²/km, with elongated fan shape having elongation ratio of 0.60–0.75 with sparse vegetation and high relief. Land use change assessment showed that 265.26?km² of forest land is converted into irrigated land and has increased sediment yields in watersheds. The calibration (r ²?=?0.74, NSE?=?0.84) and validation (r ²?=?0.72, NSE?=?0.84) of SWAT model showed that simulated and observed results were in agreement and in recommended ranges. The SWAT simulations were used to compute mean annual water and sediment yield from 1997 to 2012, along with morphometric results to categorize critical watersheds and conservation structures were proposed accordingly.     

像元分解模型的植被覆盖度遥感估算

为了提高植被覆盖度遥感估算方法的精度,该文针对置信度方法和空间克里金插值方法各自存在的问题,基于线性像元二分模型,分别采用置信度方法和空间克里金插值方法计算推导,确定像元二分模型中两个重要参数NDVIveg和NDVIsoil,实现估算植被覆盖度,并对两种方法进行对比分析,同时提出方法中存在的问题以及模型的优化改进方向。     

Snow cover area variability assessment in the upper part of the Satluj river basin in India

In high-altitude areas, snow cover plays a significant role in mountainous hydrology. Satluj, which is a snow-fed river, is a part of the Indus River system in the western Himalayas. Snow cover area (SCA) variability in this river basin affects the spatio-temporal flow availability and avalanche events. Keeping this in mind, the present study focuses on SCA variability and its relationship with various topographical features such as elevation, slope and aspect. The study has been carried out in the upper part of the Satluj River Basin on the basis of MODIS Terra (MOD10A2) data from 2001 to 2014. It has been noticed that the average annual SCA in this part of the Satluj River Basin varies from 44 to 56% with an average of about 48% of the total basin area of 16, 650 km². Further, snow accumulation and depletion curves have been suggested for assessing the SCA in the study area.     

Maize drought disaster risk assessment of China based on EPIC model

Abstract

Digital Agriculture is one of the important applications of Digital Earth. As the global climate changes and food security becomes an increasingly important issue, agriculture drought comes to the focus of attention. China is a typical monsoon climate country as well as an agricultural country with the world's largest population. The East Asian monsoon has had a tremendous impact upon agricultural production. Therefore, a maize drought disaster risk assessment, in line with the requirements of sustainable development of agriculture, is important for ensuring drought disaster reduction and food security. Meteorology, soil, land use, and agro-meteorological observation information of the research area were collected, and based on the concept framework of ‘hazard-inducing factors assessment (hazard)-vulnerability assessment of hazard-affected body (vulnerability curve)-risk assessment (risk),’ importing crop model EPIC (Erosion-Productivity Impact Calculator), using crop model simulation and digital mapping techniques, quantitative assessment of spatio-temporal distribution of maize drought in China was done. The results showed that: in terms of 2, 5, 10, and 20 year return periods, the overall maize drought risk decreased gradually from northwest to southeast in the maize planting areas. With the 20 year return period, high risk value regions (drought loss rate ≥0.5) concentrate in the irrigated maize region of Northwest china, ecotone between agriculture and animal husbandry in Northern China, Hetao Irrigation Area, and north-central area of North China Plain, accounting for 6.41% of the total maize area. These results can provide a scientific basis for the government's decision-making in risk management and drought disaster prevention in China.     

Remote sensing for change detection in the Sunderbands,Bangladesh

Abstract

Change detection study has been made for the mangrove forest of the Sunderbans (Bangladesh) using remote sensing and other ancillary data (1933–1987). At the advent of the British rule the forest was double their present extent. Its present area is about 6000.0 Sq. Km. The productive land area has been increased from 1960. Gewa (Excoecaria agallocha)‐Sundri (Heritiera fames) cover type areas have been increased at the expense of pure Sundri type. Height classes of the forest have been changed, basal area/ha has decreased. It is observed that there is a net decrease in Sundri standing volume of the order of 40% and that of Gewa 45% over the past 25 years (1960–1985). Total timber volume for all of the species has been reduced to near about a half. Timber volume/ha and basal area/ha for Gewa have increased in the Sharankhola Island of the forest. Sundri tress are being replaced by Gewa. CIR aerial photographs have been found most suitable for cover type analysis and other change detection study. Regular monitoring of the changes of the forest using remote sensing technique has been suggested.     

基于MODIS的河南省秸秆焚烧遥感监测与分析

文中采用MODIS二级产品MOD14数据,以火点像元亮温特征为依据,提取2000、2008、2014年每年5月29至6月14河南省秸秆焚烧火点分布,分析秸秆焚烧时空分布特征。研究表明:河南省14年间秸秆焚烧火点个数和面积呈上升趋势;14年间河南省秸秆焚烧由北部和中部地区逐渐向西南和东南地区扩散,且西南和东南地区的秸秆焚烧现象较为严重,其中周口、驻马店、信阳、南阳等市秸秆焚烧现象较突出,安阳、焦作、新乡等市秸秆焚烧现象明显减弱;结合2014年河南省空气污染指数分析秸秆焚烧对空气质量的影响表明:秸秆焚烧会对空气质量污染产生重要影响。     

Remote Sensing Study of Sittampundi Anorthosite Complex,India

In the present study, The Landsat 7 ETM satellite data was collected for the Sittampundi anorthosites complex and digital image analysis was carried out. The anorthositic rocks available at Sittampundi complex is considered as an equivalent of lunar highland rocks. Hence, a remote sensing study comprises of image analysis and spectral profile analysis was carried out. The satellite data was digitally processed and generated various outputs like band combinations, color composites, stretched outputs, and PCA. The suitable processed outputs were identified for delineating the anorthosite complex. The diagnostic absorption features of reflectance spectra are the sensitive indicators of mineralogy and chemical composition of rocks, which are interest to the planetary scientists. The spectral profile of Landsat ETM plotted for pure and mixed anorthosite pixels and compared with the field and lab reflectance spectra. The percentages of image spectra vary from 30% to 60% for Sittampundi anorthosite. The spectral bands 2, 4 and 6 have low reflectance and bands 3 and 5 have high reflectance. The spectral range of bands 2,3,4,5 and 6 are 525 nm–605 nm, 630 nm–690 nm, 750 nm–900 nm, 1550 nm–1750 nm and 10400 nm–12500 nm respectively. The field spectral curve has weak absorptions at 650 nm and 1000 nm due to the iron transition absorption and low ca- pyroxene respectively available in the anorthosite, matching with the image spectra. However, hyperspectal image with narrow bandwidth could be more useful in selecting the suitable spectrum for remotely mapping the anorthosite region, as equivalent test site for lunar highland region.     

卷积神经网络多层特征联合的遥感图像检索

针对卷积神经网络的特征表达方法难以满足大规模遥感图像检索需要的问题,该文将卷积层特征和全连接层特征进行联合,提出一种基于卷积神经网络多层特征联合的遥感图像检索方法。该方法提取不同卷积层特征作为图像的局部特征,提取全连接层特征作为感兴趣区域,并对二者进行跨层整合得到新的图像特征并应用于图像检索。实验结果表明,与利用单一的全连接层或者卷积层特征以及传统的经典检索方法相比,该方法取得了很好的检索结果,能够更好地保留图像的全局信息和空间结构信息,提高遥感图像检索的性能。     

Applications of remote sensing and GIS to the assessment of riparian zones for environmental restoration in agricultural watersheds

Geographical design of riparian buffers with long-term vegetation cover for environmental restoration in agricultural watersheds needs to assess how much farmland is located in the buffers of a concerned watershed.Traditionally,this assessment was done by field surveying and manual mapping,which was a time-consuming and costly process for a large region.In this paper,remote sensing(RS) and geographical information system(GIS) as cost-effective techniques were used to develop a catchments-based approach for ...     

天山中段玛纳斯河上游山区雪盖衰退过程遥感研究

季节性积雪的积累与消融,伴随着能量与水分的存储与再释放,在气候系统中扮演着极其重要的角色,是干旱半干旱地区宝贵的淡水资源.定量识别积雪信息并研究消融期雪盖的时空衰退特征,对流域水资源管理与气候变化具有重要的实际应用与科学研究价值.论文基于国产环境一号(HJ-1 A/B)卫星数据,以天山中段玛纳斯河上游山区为研究区,结合...     

东平湖水体透明度的遥感反演研究

针对传统水体透明度测量方法不仅耗时费力,而且在时间和空间的监测中也会受到很大的限制,只能了解研究区域内点状剖面的透明度状况,但是遥感技术的发展为解决传统采样方法的局限性问题提供了可能。该文在分析内陆湖泊水体光学特征的基础上,利用三期Landsat8 OLI影像数据及准同期的地面实测数据,寻找与东平湖水体透明度敏感的波段,对东平湖丰、平、枯水期水体透明度的进行遥感反演研究。结果表明,OLI影像B3、B4波段的反射率与实测的透明度数据之间具有良好的相关关系,并以此为基础建立了该区域水体透明度遥感反演模型。结果表明:模拟值与实测值的总体相对误差为19.77%,均方根误差为19.35cm,模型精度在可以接受的范围之内;由于受围网养殖、叶绿素a含量等因素的影响,东平湖透明度总体呈现出南低北高的分布趋势。据此绘制了东平湖丰、平、枯水期水体透明度分布图。