Relative performance of landsat MSS,TM and IRS LISS-I data for acreage estimation of Rabi sorghum

Acreage estimation of Rabi sorghum crop in Ahmadnagar, Pune and Solapur districts of central Maharashtra has been attempted using synchronously acquired Landsat MSS and TM data of 1987–88 season and IRS LISS-I data of 1988–89 season; in conjuction with near-synchronous ground truth data. The remote-sensing-based acreage estimations for the districts were compared with the respective estimates by Bureau of Economics and Statistics (BES). As the acreages were underestimated with the classification of standard four-band MSS data, the atmospheric correction of fourband MSS data and normalised differencing (ND) of the atmospheric-corrected MSS data were attempted. The main observations are: (1) the use of Landsat MSS data results in underestimation of sorghum acreage in comparison with BES estimation, (2) the atmospheric correction and ND transformation of MSS data are necessary for bringing acreage estimates in agreement with BES estimates, (3) Mid-IR data in band 1.55 to 1.75 μm are useful in improving the separability of land-use classes, and (4) remote sensing data with radiometric sensitivity comparable to LISS-I or Landsat TM and Signal-to-Noise ratios comparable to LISS-I data are suitable for accurate acreage estimation of sorghum.     

Physiographic analysis for small scale soil and landuse mapping of Mewat area,Haryana, using LANDSAT imagery

Visual interpretation of LANDSAT imagery of 1∶250,000 scale (band 5 and 7) and 1∶1 M (FCC) covering 1611 km² in Mewat area, Haryana was carried out for delineating the physiographic units. The physiographic units viz. hills, piedmont plain, intermontane basin and Yamuna alluvial plain were identified and delineated using interpretation elements. Soils and land use in relation to the physiographic units were studied during the field visit and are described in the paper.     

Interpretation of an apollo space photo for small scale soil mapping in respect of an area in bihar

A section of an Apollo space photo relating to the Magadh area of Bihar state was monoscopically interpreted resulting in six delineations based upon tone and texture variations. Small scale aerial photographs were used for the preparation of soil map of a part of the area using a systematic air photointerpretation procedure; this served as a basis for defining the soil composition of four out of the six space photo analytical units. In respect of the remaining two units-soil information was obtained by reference to an existing small seale soil map of Bihar State. The data thus obtained have been used to prepare a small scale soil map of the selected section of the Apollo space photo. The soil map of the part of the space photo area that is based on support ph: to-interpretation has been found to have the quality and accuracy expected of very small scale soil maps.     

Use of remotely sensed data for soil mapping

Soil maps have been prepared hitherto by conventional ground surveys and by using aerial photographs. In this paper, the use of LANDSAT data for preparation of small scale soil maps upto association of sub-group level has been discussed. Typical spectral curves for various soils and landuse categories were given based on the mean spectral levels for each LANDSAT band obtained from Multispectral Data Analysis System (M-DAS). Soil characterization using the multispectral data could be done by both image oriented and numerically oriented approaches. The small scale soil maps thus prepared by using the satellite data could be used for regional planning and as map base for further detailed surveys.     

An approach to use of aerial photos in small scale soil mapping based on experience of Jodhpur district,Rajasthan

Photocharacteristics of some of the dominant soils were already known from experience within and outside the survey area. Using these known photocharacteristics an interpretation was carried out enabling a coverage of nearly 65% of the total area of the district. Simultaneously, the remaining 35% area split into various sized patches was photo-analysed and the characteristics noted. Thereafter field traversing was taken to carry out checking of the already interpreted area and interpretation of photo-analytical units and a few uncertain areas. This method of partial interpretation-cum-analysis in the first stage itself was found fully workable for the present area. Interpretations of some of the new dominant analytical units are reported.     

利用高分辨率立体测绘影像进行中小比例尺地貌要素更新

利用高分辨率立体测绘卫星遥感影像进行地貌更新,因其覆盖面积大、更新周期短等优势,在中小比例尺地貌要素更新中具有极大的应用潜力.本文分别利用WorldView-2和资源三号卫星影像,探索基于高分辨率立体测绘卫星影像的中小比例尺地貌更新技术方案流程,并在不同的试验区开展试验验证.试验结果表明:本文方法能够满足1:50000...     

Towards decadal soil salinity mapping using Landsat time series data

Salinization is one of the major soil problems around the world. However, decadal variation in soil salinization has not yet been extensively reported. This study exploited thirty years (1985–2015) of Landsat sensor data, including Landsat-4/5 TM (Thematic Mapper), Landsat-7 ETM+ (Enhanced Thematic Mapper Plus) and Landsat-8 OLI (Operational Land Imager), for monitoring soil salinity of the Yellow River Delta, China. The data were initially corrected for atmospheric effects, and then matched the spectral bands of EO-1 (Earth Observing One) ALI (Advanced Land Imager). Subsequently, soil salinity maps were derived with a previously developed PLSR (Partial Least Square Regression) model. On intra-annual scale, the retrievals showed that soil salinity increased in February, stabilized in March, and decreased in April. On inter-annual scale, soil salinity decreased within 1985–2000 (−0.74 g kg⁻¹/10a, p < 0.001), and increased within 2000–2015 (0.79 g kg⁻¹/10a, p < 0.001). Our study presents a new perspective for use of multiple Landsat data in soil salinity retrieval, and further the understanding of soil salinization development over the Yellow River Delta.     

Comparison of small scale soil maps prepared by conventional methods and air photo-interpretation procedure

A small scale soil map for a part of Barnagar Tehsil prepared by the adoption of a systematic air photo-interpretation procedure has been compared with the soil map for the same area resulting from a previous reconnaissance soil survey using toposheets as base maps. Tt has been shown that the soil boundaries of the photo-interpretation map are both more accurate and natural in shape; delineation of gullied lands has been achieved more accurately by the A.P.I. procedure; soil erosion could be mapped more consistently and accurately through photo-interpretation. Additionally. the photo-internretation procedure achieves accurate delineation of distinctive facets of land forms because of the advantages arising from the viewing of a stereo model of the landscape; this paves the way for easier and better soil mapping in view of the correlation between landscape elements and soil patterns. Apart from the increased accuracy and diminished costs the photo-interpretation procedure will be helpful in modernising previously prepared reconnaissance soil maps.     

Soil resource survey of silent valley and its environ using landsat MSS data

This paper presents a case study of the utility of Landsat MSS imagery for soil resoruces mapping in Silent Valley and its environs covering about 33,000 sq. km. area. A collective approach involving monoscopic visual interpretation of Landsat imagery in conjunction with the lithological and topographical information supported by limited field check has been followed to prepare a soil map on 1:250,000 scale showing sub-groups/association of sub-groups. Future prospect of using spaceborne data for soil mapping has also been discussed.     

A numerical technique for delineation of soil mapping units using multi-spectral remote sensing data

A numerical technique for transformation of ground based sail spectral information into soil mapping — unit information, in terms of the total information content index has been proposed. The study carried out on 14 surface soil samples. widely differing in their physical appearance of colour and collected from different parts of India, revealed that total information content index could distinctly discriminate between the contrasting soil physiographic units with black cotton, red and sandy soil types. A comparison of the proposed index with the conventionally used two or three waveband specific indices (e.g. NIR/Red and NIR-Red/Red-Green) showed that the proposed index was more characteristic of the various soil types studied. Further, unlike the conventional 2-D indices, the proposed, numerical technique lead to the complete compression of the information contained in the entire reflectance spectrum (irrespective of the number of wavebands) to a single characteristic value in 1-D Space and a simplified 1-D clustering analysis.     

Colour infrared aerial photographs as data base for reconnaissance soil mapping and land suitability grouping

Colour infrared and panchromatic B & W aerial photographs at 1∶25,000 scale over part of Anantapur district of Andhra Pradesh were interpreted stereoscopically for delineating soilscape units. Soils and land properties were evaluated for suitability of the land for agriculture i.e. paddy and wheat. The results indicate that the relative case in delineating physiographic units offered by colour infrared air-photos does not commensurate with their cost. In the study area, 19.57 and 14.78 per cent area have been found to be suitable for paddy and wheat, respectively.     

一个用于GPS数据操作的实用软件

介绍了一个简单实用的GPS工具软件，描述了针对不同型号的接收机，可以完成数据的标准RINEX格式转换、数据质量检查和编辑工作，尤其数据质量检查的结果对了解接收机性能和数据环境等具有一定的指导作用。     

在1:250 000协同图数字制图系统中实现数据源的实时注册

介绍在基于Microstation工作平台开发的1：250000万协同图数字制图系统中设计文件与地图属性数据库连接的意义,主要论述了系统中如何用代码而不是在控制面板中注册数据源。     

A comparative evaluation of IRS-1A LISS-II and landsat MSS images using computer-aided lineament data analysis

Lineament patterns detected from remotely sensed data provide useful information to geoscientists, specially in the study of basement tectonics, groundwater targetting and mineral exploration. Improvements in the spatial resolution of satellite images have resulted in the detection of short and faint lineaments which have hitherto gone unnoticed The IRS-1A LISS-II data offers a significant improvement in spatial resolution as compared to the Landsat MSS. A set of computer programmes developed for analysis of lineaments were used to study the parameters such as lineament frequency, length and density in order to quantify the added information derived using IRS-1A LISS-II images. The incremental contribution of LISS-II images are of the order of 100 per cent for lineament frequency and about 60 per cent for total line kilometers of lineaments detected.     

Application of remote sensing data in characterization and mapping of soil resources for watershed planning in arid Western Rajasthan

Visual interpretation of IRS-L1SS-II (January, 1995) FCC (1:50,000 scale) of spectral bands 2, 3 and 4 was carried out for the identification and mapping of major physiographic units in an arid watershed of Jodhpur district (Rajasthan). Based on image characteristics and field traverses, seven major physiographic units identified are (1) hills (2) pediments, flat to undulating (3) buried pediments, moderately deep to deep, coarse textured (4) buried pediment, shallow to moderately deep and deep, medium to fine textured, saline (5) older alluvial plains, deep and very deep, coarse textured (6) younger alluvial plains, deep to very deep, very coarse textured and (7) dune complexes. Based on physiographicvariatton and soil or site characteristics such as texture, depth, slope, erosion and underneath substrata, 41 soil mapping units were identified and mapped. Final physiography, soil, slope, drainage and landuse maps were prepared on 1:5,000 scale. Taxonomically, the soils of the watershed were classified as Para-Lithic Torriorthents, coarse-loamy, Lithic/Typic Haplocambids, fine-loamy, Lithic/Typic Haplosalids and Typic Torrifluvents and Typic Torripsamments. Land suitability for various mapping units in the watershed have been assessed on the basis of soil physico-chemical characteristics.     

Land use and land cover change detection with Landsat MSS and SPOT HRV data in Hong Kong

The objective of this paper is to map urban expansion in Hong Kong from 1979 to 1987 with a Landsat MSS and a SPOT HRV data. The data were radiometrically calibrated and geometrically registered. Three change detection techniques were applied. First, image overlay was used to enhance change areas visually. Second, a standardized principal components analysis was performed to yield minor components which were change related vectors. A thresholding technique was employed to separate the areas of changes from those of no-change. A binary change mask was created. Third, a post-classification comparison was merged with the change mask to identify the nature of specific land use and land cover changes. Major land development in the city can be easily detected and mapped with these techniques.     

消费级无人机在大比例尺测图中应用与精度评价

以分别搭载大视场角普通相机和鱼眼相机的消费级无人机为例,在对相机的高精度标定基础上,选取典型丘陵和山地实验区分别对两种消费级无人机大比例尺测图能力进行实验和精度评价,结果证明消费级无人机在合理的航测方式下,其测图结果的空三精度、分辨率及高程精度均可满足国家1∶500大比例尺地形测图的精度要求,可以推广应用到小范围大比例尺测图和修测任务中。     

TerraSAR-X卫星影像中大比例尺测图应用研究

为了研究TerraSAR-X卫星的中大比例尺测图可行性,文章利用成都都江堰市3m、1m分辨率的TerraSAR-X影像、控制点及可见光卫星影像,对TerraSAR-X影像在多云多雨地区的中、大比例尺测图展开了研究和分析。实验表明利用TerraSAR-X影像能够符合中大比例尺基础地图测图或修测的精度要求,可用于困难地区1∶50 000~1∶10 000比例尺的基础测图生产和更新。     

FMC cameras,high resolution films and very large scale mapping

Abstract

Very large scale mapping (1/250) was experimented on the basis of FMC camera, high resolution film and total station surveying.

The future attractive combination of precision photogrammetry and personal computer assisted terrestrial surveying was investigated from the point of view of accuracy, time effectiveness and total procedures control.     

MSS93A: A new stationary sea surface combining one year upgraded ERS-1 fast delivery data and 1987 GEOSAT altimeter data

Summary At the German Processing and Archiving Facility (D-PAF) an off-line altimeter data processing system has been developed with the capability to handle different satellite missions. For combining data from different missions an algorithm has been implemented that processes a reference sea surface from altimeter data of one mission while other mission data is taken to improve the spatial resolution of this reference model. In this way a stationary sea surface (MSS93A) was computed by compiling upgraded ERS-1 fast delivery data of the first year of the 35 day repeat cycle together with Geosat T2 GDRs of 1987.MSS93A was validated by means of comparisons to external models, gradient method and visualization techniques.