Studies on Land Resource Inventory for Agricultural Land Use Planning in Northern Transition Zone of India through Remote Sensing and GIS Techniques

Land suitability analysis is a prerequisite to achieving optimum utilization of available land resources. Hence, a study on land resource inventory for agricultural land use planning was conducted in the Northern Transition Zone of India to determine land capability and develop a suitability map for wheat and sorghum-based on physical and climatic factors of production using remote sensing and GIS techniques. Detailed soil survey information was used for this exercise. Four series (Singhanhalli, Mugli, Bogur and Venkatapur series) were identified and mapped into seventeen mapping units. Land capability classification showed that a greater portion of the study area belonged to class III followed by class IV with limitations of erosion, wetness and varying soil properties. Four land capability classes viz., II, III, IV, and VI, and seven subclasses viz., IIsf, IIItsf, IVs, IVt, IVts, IVtsf and VIt were identified. Major limitations of these subclasses were slope, erosion, depth, texture, coarse fragments, pH, organic carbon and base saturation. Soil suitability assessment revealed that the soils are moderately suitable to permanently not suitable. About 234 ha (31.6%) is moderately suitable, 494 ha (65.0%) marginally suitable and 10.2 ha (1.3%) permanently not suitable for wheat;while 78.5 ha (10.3%) is moderately suitable, 633.4 ha (82.3%) marginally suitable and 32.6 ha (4.3%) permanently not suitable for sorghum respectively. The moderate, marginal and permanent non-suitability was due to moderate, severe and very severe limitations respectively. However, it is possible to achieve potential yield of the crops in the study area if these limitations are addressed.

SYNTHETICAL REMOTE SENSING SURVEY AND MAPPING IN LONGTAN HYDROELECTRIC STATION

Long Tan Hydroelectric Station is planned to be built in the middle reaches of Hong Shui River between the Guongxi Zhuang Autonomous Region and Guizhou Province where the terrain is complicated and the traffic is unconvenient. In order to speed up engineering design, the synthetical remote sensing survey and mapping had been made

Progress of Geological Survey Using Airborne Hyperspectral Remote Sensing Data in the Gansu and Qinghai Regions

Hyperspectral remote sensing is now a frontier of the remote sensing technology. Airborne hyperspectral remote sensing data have hundreds of narrow bands to obtain complete and continuous ground-object spectra. Therefore, they can be effectively used to identify these grotmd objects which are difficult to discriminate by using wide-band data, and show much promise in geological survey. At the height of 1500 m, have 36 bands in visible to the CASI hyperspectral data near-infrared spectral range, with a spectral resolution of 19 nm and a space resolution of 0.9 m. The SASI data have 101 bands in the shortwave infrared spectral range, with a spectral resolution of 15 nm and a space resolution of 2.25 m. In 2010, China Geological Survey deployed an airborne CASI/SASI hyperspectral measurement project, and selected the Liuyuan and Fangshankou areas in the Beishan metallogenic belt of Gansu Province, and the Nachitai area of East Kunlun metallogenic belt in Qinghai Province to conduct geological survey. The work period of this project was three years.

新型测绘技术在测绘工程中的应用探究

随着科技的不断进步,新型测绘技术在测绘工程领域中扮演着越来越重要的角色。全球卫星导航系统(GNSS)、遥感技术、激光扫描技术(LiDAR)和无人机测绘技术等新兴技术的出现,为测绘工程提供更高效、更精确的数据获取和处理手段。该文探究新型测绘技术在测绘工程中的应用,分析新型测绘技术在测绘工程中的优势和挑战,通过地形测绘与制图、城市建设与规划、环境监测与灾害预警,以及土地管理与农业发展4个方面,阐述新型测绘技术在测绘工程中的应用。

测绘新技术在测绘工程的应用研究

研究主要对测绘新技术在测绘工程中的应用进行了研究。首先,通过阐述工程测绘概述为基础,介绍各种新技术。其次,探讨了这些新技术在测绘工程中的应用,包括激光扫描、无人机测绘和卫星定位等。通过对这些新技术的应用案例的研究,发现它们在精度、效率和成本方面都具有明显优势。最后,对测绘新技术的未来发展进行展望,认为随着科技的进步和应用需求的不断提高,测绘新技术将会得到广泛应用。

遥感和无人机测绘技术在土方平衡施工中的应用研究

农业旱改水项目具有施工面积大、施工范围广、施工较分散等特点,施工内容主要包括土地平整、灌排水工程和田间路施工等。为了更加直观便捷地进行土方平整施工,通过采用遥感技术和无人机测绘技术相结合的方式,使用Cass11、飞时达、autoCAD、奥维互动地图等软件对地形数据进行处理分析,生成具有卫星图像、田块信息、土方调配图等结合的图像,通过图像与施工现场结合应用,能够将土方平衡施工转向数字化、可视化操作,在某旱改水项目土方平衡施工中进行了应用,优化了施工顺序,减少了施工损耗,施工效率得到了显著提升。

遥感影像技术在地图编制中的应用

地图编制工作的进展有赖于遥感影像技术在其中的广泛应用,当前,地图编制工作中的图像清晰度等均得到大幅改善。本文结合遥感影像技术在地图编制工作中的实际运用,并以宜昌市地图编制为例,从编图资料准备、多源数据集合配准、数据套合、影像判读和卫星图像的变化检测多方面作了相应说明,并探讨其地图编制工作的未来发展走向,为未来地图编制提供一定的参照与借鉴。

遥感航测技术在地图测绘中的应用分析

为了有效提升地图的准确性和实用性,提高数据采集效率,为城市建设与规划提供宝贵的数据资源,论文介绍了遥感航测技术的主要内容,对遥感航测技术在地图测绘中的价值,以及在基础地图制作、土地利用规划和管理、城市规划和建设、交通和道路规划、土地权属和不动产管理中的具体应用进行了探究。

遥感测绘技术在测绘工作中的应用研究

文章根据遥感测绘的原理和特点,探讨了遥感测绘技术在测绘工作中的应用研究,分析其在制图工作、地质遥感测绘、地理测绘等工作中数据获取、信息提取、地图制作等方面的优势和挑战。

无人机遥感技术在测绘工程测量中的应用

随着高新技术的不断涌现和计算机、通信技术的不断创新,我国无人机产业在遥感测绘领域取得了显著的进展。随着科学技术水平的不断进步和社会经济的迅猛发展,我国已经开始逐步加大对于航空摄影测量领域的研究力度,将无人机遥感技术应用到测绘工程测量当中已成为当前的主要趋势之一。为此本文探讨了无人机遥感技术在测绘工程测量中的具体应用,深入阐述了其在该领域中的优越性。

Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data

The goal of this study was to map rainfed and irrigated rice-fallow cropland areas across South Asia,using MODIS 250 m time-series data and identify where the farming system may be intensified by the inclusion of a short-season crop during the fallow period.Rice-fallow cropland areas are those areas where rice is grown during the kharif growing season(June–October),followed by a fallow during the rabi season(November–February).These cropland areas are not suitable for growing rabi-season rice due to their high water needs,but are suitable for a short-season(≤3 months),low water-consuming grain legumes such as chickpea(Cicer arietinum L.),black gram,green gram,and lentils.Intensification(double-cropping)in this manner can improve smallholder farmer’s incomes and soil health via rich nitrogen-fixation legume crops as well as address food security challenges of ballooning populations without having to expand croplands.Several grain legumes,primarily chickpea,are increasingly grown across Asia as a source of income for smallholder farmers and at the same time providing rich and cheap source of protein that can improve the nutritional quality of diets in the region.The suitability of rainfed and irrigated rice-fallow croplands for grain legume cultivation across South Asia were defined by these identifiers:(a)rice crop is grown during the primary(kharif)crop growing season or during the north-west monsoon season(June–October);(b)same croplands are left fallow during the second(rabi)season or during the south-east monsoon season(November–February);and(c)ability to support low water-consuming,short-growing season(≤3 months)grain legumes(chickpea,black gram,green gram,and lentils)during rabi season.Existing irrigated or rainfed crops such as rice or wheat that were grown during kharif were not considered suitable for growing during the rabi season,because the moisture/water demand of these crops is too high.The study established cropland classes based on the every 16-day 250 m normalized difference vegetation index(NDVI)time series for one year(June 2010–May 2011)of Moderate Resolution Imaging Spectroradiometer(MODIS)data,using spectral matching techniques(SMTs),and extensive field knowledge.Map accuracy was evaluated based on independent ground survey data as well as compared with available sub-national level statistics.The producers’and users’accuracies of the cropland fallow classes were between 75%and 82%.The overall accuracy and the kappa coefficient estimated for rice classes were 82%and 0.79,respectively.The analysis estimated approximately 22.3 Mha of suitable rice-fallow areas in South Asia,with 88.3%in India,0.5%in Pakistan,1.1%in Sri Lanka,8.7%in Bangladesh,1.4%in Nepal,and 0.02%in Bhutan.Decision-makers can target these areas for sustainable intensification of short-duration grain legumes.

高现势性遥感技术在城市基础建设中的应用研究

利用遥感数据获取周期短、覆盖面积大、地物信息丰富等特点,选取杭州市部分区域进行城市要素变化监测研究,提取城市基础建设和演变过程中的城市要素变化信息,快速发现和圈定变化目标区域,提高城市地理信息更新的效率和准确性,为城市规划、建设和管理提供基础地理数据支撑。

基于无人机遥感技术的地理信息测绘方法

文章以贵州省七星关区地理信息测绘任务为例,提出基于无人机遥感技术的地理信息测绘方法。分析该区域的地势情况,设计无人机遥感技术测绘流程;根据摄区实际地形起伏情况选择航摄设备,计算无人机的航摄高度、设计航摄路线,以完成不同起伏程度的地形航摄;采用基于局部方差均衡的图像增强方法对遥感图像处理后,对其进行镶嵌和裁剪,制作该区域的正射影像。对测绘成果进行分析后得出,该方法能够较好地完成研究区域的地理信息测绘,为该地区的自然资源管理提供可靠依据。

基于无人机遥感测绘的GIS数据处理技术

无人机遥感测绘利用无人机搭载的传感器从空中获取地表数据,数据经过GIS的高效处理与分析,能够为城市规划、环境监测、农业管理等领域提供精确的空间信息和有力的决策支持。介绍了基于无人机遥感测绘的GIS数据处理技术,包括无人机数据的采集流程和GIS中的数据预处理、分类、特征提取方法,并通过技术测试验证了方法的有效性。通过详细的技术分析和实证研究,为遥感测绘领域的研究者和应用开发者提供关于如何高效利用无人机与GIS技术处理和分析地理信息的综合性指南。

基于无人机遥感测绘技术的土壤有机污染监测方法研究

为实时监测土壤有机污染,提出基于无人机遥感测绘技术的土壤有机污染监测方法。设计无人机遥感测绘装置,获取监测区域土壤光谱数据,应用小波变换算法去除土壤光谱数据的噪声信息,采用惩罚最小二乘法去除土壤光谱本底信息,通过LAR算法选择与提取光谱数据特征变量,衡量其与已知有机污染物质光谱特征变量的相似程度,判定监测区域土壤是否存在有机污染,并确定有机污染物质种类。实验数据显示:应用提出方法获得的监测区域土壤有机污染判定结果与实际结果保持一致,土壤有机污染物质监测因子最大值为0.98。

测绘工程中测绘遥感技术的应用

随着现代科学技术的发展,我国测绘工程得到了长足发展,其精准度和效率大幅度提升。以无人机遥感技术为主,其具备较强的定位功能,通过和通信技术的联合,能够准确获得空间信息,从而保障了测绘范围的全面性。为了充分发挥无人机测绘遥感技术的作用,对测绘工程测量工作的特性进行分析,结合测绘工程的实例要求明确测绘遥感技术的使用方法,以此为测绘工程中相关人员测量工作的开展提供实践经验。

遥感测绘技术在区域生态环境水污染监测中的应用研究

探究遥感测绘技术在区域生态环境水污染监测中的应用效果。选择某大型水库作为研究区,选用八旋翼无人机、野外便携式光谱仪等作为试验仪器,采集遥感数据。对采集数据实施传感器辐射定标、影像去噪、场地辐射校正、几何校正、水陆分界等预处理,获取多个波段的对应光谱反射率数据。基于LSTM构建含2个隐含层的水质参数遥感反演模型,反演水质参数,实现区域生态环境水污染监测。反演结果表明:该水库的pH、MnO_(4)^(-)、NH_(3)-H等含量均存在超标问题,并且反演结果比较准确。该方法可以有效检测生态环境水污染。

水利工程测量中数字化测绘技术的应用研究

数字化测绘技术具有测绘度快、测绘结果精准的优势,可为水利工程建设提供准确的数据依据。基于此,对水利工程测量中的数字化测绘关键技术展开了探讨,并从水利工程遥感成像、数字地图制作、基础信息平台建设3个方面分析了数字化测绘技术的应用情况,旨在为水利工程测量工作中科学应用数字化测绘技术提供参考,从而提高水利工程测绘的质量和效率。

工程测绘中无人机遥感测绘技术的应用研究

随着科技的飞速发展,无人机技术已经逐渐渗透到各个行业领域,成为现代科技进步的一个重要标志。在工程测绘领域,传统的测绘方法往往耗时耗力,且存在一定的安全风险。而无人机遥感测绘技术的出现,为工程测绘带来了革命性的变革。因此,旨在深入研究工程测绘中无人机遥感测绘技术的应用,探讨其面临的困境与挑战,并提出相应的发展策略和建议。

遥感测绘技术在矿山开采沉陷监测中的应用

在矿山开采中,产生开采沉陷现象,主要受矿山区域地质环境与自然环境的影响,导致矿山岩体结构受损,因遭受不同程度的破坏,导致周围公路路面质量受损,产生路面沉降、路面裂缝及地表下沉等问题,产生交通安全隐患,不利于矿山开采工作开展,同时存在较大的安全隐患。本文分析遥感测绘技术在矿山开采沉陷监测中的应用,利用新型遥感测绘技术,通过无人机实时采集矿山开采中动态图像信息,实现对矿山开采沉陷全面监测,以期丰富相关研究理论。