Identification of Petitot's Riviere La Ronciere-le Noury

Contains a study of explorations in the Horton and Hornaday River regions of northern Mackenzie District. Evidence is presented to suggest that the river discovered and mapped (excepting lower reaches) by the Oblate missionary Emile Petitot in 1868 is identical with the Hornaday. The latter, discovered by A.J. Stone in 1900 was explored only near its effluence into Darnley Bay. Recent mapping from aerial photographs show the source of the Hornaday (68 40 N, 120 20 W) and features of its course as similar to those recorded for La Ronciere-le Noury by Petitot in his Geographie de l'Athabaskaw-Mackenzie...1875.(Arctic Bibliography, No. 13406)

Evaluation of ERTS-1 data for certain hydrological uses

The author has identified the following significant results. ERTS-1 MSS data have been used in a variety of hydrologic research including snow-extent mapping; studies of snowmelt, snowmelt runoff, spectral reflectance of snow for assessing snowpack conditions, and snow albedo; lake ice formation, breakup, and migration; lake current measurements; multispectral studies of lake ice; and flood studies. MSS sensing of soil moisture over a well-vegetated test site was unsuccessfully attempted. Although a powerful research tool, ERTS-1 has very limited use as an operational system for hydrologic communities because of its 18-day revisit cycle and its lack of a quick look capability

Review of remote sensing for land administration: Origins, debates, and selected cases

Conventionally, land administration—incorporating cadastres and land registration—uses ground-based survey methods. This approach can be traced over millennia. The application of photogrammetry and remote sensing is understood to be far more contemporary, only commencing deeper into the 20th century. This paper seeks to counter this view, contending that these methods are far from recent additions to land administration: successful application dates back much earlier, often complementing ground-based methods. Using now more accessible historical works, made available through archive digitisation, this paper presents an enriched and more complete synthesis of the developments of photogrammetric methods and remote sensing applied to the domain of land administration. Developments from early phototopography and aerial surveys, through to analytical photogrammetric methods, the emergence of satellite remote sensing, digital cameras, and latterly lidar surveys, UAVs, and feature extraction are covered. The synthesis illustrates how debates over the benefits of the technique are hardly new. Neither are well-meaning, although oft-flawed, comparative analyses on criteria relating to time, cost, coverage, and quality. Apart from providing this more holistic view and a timely reminder of previous work, this paper brings contemporary practical value in further demonstrating to land administration practitioners that remote sensing for data capture, and subsequent map production, are an entirely legitimate, if not essential, part of the domain. Contemporary arguments that the tools and approaches do not bring adequate accuracy for land administration purposes are easily countered by the weight of evidence. Indeed, these arguments may be considered to undermine the pragmatism inherent to the surveying discipline, traditionally an essential characteristic of the profession. That said, it is left to land administration practitioners to determine the relevance of these methods for any specific country context. © 2021 by the authors. Licensee MDPI, Basel, Switzerland

Accuracy assessment of orthophoto using ground control point derived from various global positioning system techniques

Unmanned Aerial System (UAS) is a rapid mapping method that is capable to capture many details in short span of time from various altitudes. UAS comprises of two components: (i) Unmanned Aerial Vehicle (UAV) and (ii) Ground Control System (GCS). The functions of GCS are to monitor and control the UAV from the ground during the process of data collection. UAS has the capability to produce accurate set of data for mapping, nevertheless, the accuracy of the data need to be assessed. The aim of this study is to assess the accuracy of mapping using UAS data based on Ground Control Points (GCP) derived from various Global Positioning System (GPS) techniques. The GCPs are used as control points for production of orthophoto. In this study, a fixed-wing UAV attached with a digital camera was flown over Universiti Teknologi Malaysia campus at an altitude of 300 m for digital aerial images acquisition. The study area is divided into: (i) small study area of Lingkaran Ilmu with approximate area of 35000 m2 and (ii) large study area with approximate area of UTM of 7000000 m2. These different sizes of the study area were used to investigate the effect of different GPS techniques. In this study, the GCPs location is well distributed in both study areas and the GCPs were established using three different GPS techniques: i) relative static, ii) absolute static and ii) Network Real Time Kinematic (NRTK). These different techniques were used to investigate its effect on orthophoto production. The accuracy assessment is performed by comparing the orthophoto measurements with reference values based on Check Points (CPs) established using GPS technique. Results show that the Root Mean Square Error (RMSE) of NRTK technique is consistently small with 0.39 m and 0.55 m for the small and large study areas respectively. While for the relative static technique, the RMSE show inconsistent results with 1.61 m and 0.50 m for the small and large study areas respectively. Meanwhile, absolute static technique gives the biggest RMSE with 0.84 m and 2.27 m for the small and large study areas respectively. In conclusion, NRTK technique is proved to be the best technique of GCP establishment in terms of accuracy and the UAS can be employed for mapping purposes

Remote Sensing for Land Administration 2.0

The reprint “Land Administration 2.0” is an extension of the previous reprint “Remote Sensing for Land Administration”, another Special Issue in Remote Sensing. This reprint unpacks the responsible use and integration of emerging remote sensing techniques into the domain of land administration, including land registration, cadastre, land use planning, land valuation, land taxation, and land development. The title was chosen as “Land Administration 2.0” in reference to both this Special Issue being the second volume on the topic “Land Administration” and the next-generation requirements of land administration including demands for 3D, indoor, underground, real-time, high-accuracy, lower-cost, and interoperable land data and information

University of Windsor Undergraduate Calendar 2000-2001

https://scholar.uwindsor.ca/universitywindsorundergraduatecalendars/1008/thumbnail.jp