The Status and Development Trends of Land Remote Sensing

2020 ◽  
Author(s):  
L. Ren ◽  
N. Lazorenko-Hevel
Keyword(s):  
Remote Sensing ◽  
Development Trends ◽  
The Status

scholarly journals Operationalization of Remote Sensing Solutions for Sustainable Forest Management

2021 ◽  
Vol 13 (4) ◽  
pp. 572
Author(s):  
Gintautas Mozgeris ◽  
Ivan Balenović
Keyword(s):  
Remote Sensing ◽  
Forest Management ◽  
Natural Resources ◽  
Sustainable Management ◽  
Sustainable Forest Management ◽  
Cost Effective ◽  
Development Trends ◽  
Comprehensive Information ◽  
The Status

The pre-requisite for sustainable management of natural resources is the availability of timely, cost-effective, and comprehensive information on the status and development trends of the management object [...]

scholarly journals Inferring Mixed Use of Buildings with Multisource Data Based on Tensor Decomposition

2021 ◽  
Vol 10 (3) ◽  
pp. 185
Author(s):  
Chenyang Zhang ◽  
Qingli Shi ◽  
Li Zhuo ◽  
Fang Wang ◽  
Haiyan Tao
Keyword(s):  
Remote Sensing ◽  
Recognition Rate ◽  
Remote Sensing Data ◽  
Tensor Decomposition ◽  
Decomposition Algorithm ◽  
Sensing Data ◽  
Building Recognition ◽  
Planning Decisions ◽  
Mixed Use ◽  
The Status

Information on the mixed use of buildings helps understand the status of mixed-use urban vertical land and assists in urban planning decisions. Although a few studies have focused on this topic, the methods they used are quite complex and require manual intervention in extracting different function patterns of buildings, while building recognition rates remain unsatisfying. In this paper, we propose a new method to infer the mixed use of buildings based on a tensor decomposition algorithm, which integrates information from both high-resolution remote sensing images and social sensing data. We selected the Tianhe District of Guangzhou, China to validate our method. The results show that the recognition rate of buildings can reach 98.67%, with an average recognition accuracy of 84%. Our study proves that the tensor decomposition algorithm can extract different function patterns of buildings unsupervised, while remote sensing data can provide key information for inferring building functions. The tensor decomposition-based method can serve as an effective and efficient way to infer the mixed use of buildings, which can achieve better results with simpler steps.

Airborne Laser Scanning in Poland - Between Science and Practice

2019 ◽  
Vol 31 (1) ◽  
pp. 105-133
Author(s):  
Zdzisław Kurczyński
Keyword(s):  
Remote Sensing ◽  
Retrospective Analysis ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Production Potential ◽  
Development Trends ◽  
The Past ◽  
Airborne Laser ◽  
National Production ◽  
Research Centres

Abstract The article is a retrospective analysis of the development of airborne laser scanning technology in the country in the past twenty years, i.e. from the beginnings of this technique use in Poland to the present day. The emphasis in the text is placed on development trends and scientific and application problems in the field of technology undertaken by national research centres. The review is based on numerous publications in this field, which have been released over two decades mainly in the “Archive of Photogrammetry, Cartography and Remote Sensing”. Therefore, the article is a presentation of the progress in the area of airborne laser scanning through an attempt to systematize and review national publications in this scope. It also presents the development of the national production potential and the level of the country’s coverage with data and products derived from airborne laser scanning.

scholarly journals СУБ'ЄКТНИЙ СКЛАД МУНІЦИПАЛЬНОЇ ПРАВОВОЇ ПОЛІТИКИ УКРАЇНИ

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Руслан Миколайович Хван
Keyword(s):  
Strategic Management ◽  
The State ◽  
Development Trends ◽  
Legal Policy ◽  
Legal Personality ◽  
Governmental Organizations ◽  
Non Governmental Organizations ◽  
The Status

Annotation. The article examines the essence of municipal legal policy as a system of strategic management of self-government activities. The essence and characteristics of local self-government entities, their individual categories, patterns and development trends have been investigated. It is emphasized that territorial communities, directly or indirectly, their authorities, non-governmental organizations exercise their legal personality both within the state and outside it. The prospects of functioning, improving the status of local self-government subjects have been determined..

Water Accounting Plus (WA+) through Remote Sensing in the Yarmouk Tributary Basin

2021 ◽  
Author(s):  
Chadi Abdallah ◽  
Gina Tarhini ◽  
Mariam Daher ◽  
Hussein Khatib ◽  
Mark Zeitoun
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Management Strategies ◽  
Initial Distribution ◽  
Yarmouk River ◽  
The Status ◽  
Irrigated Crops ◽  
Water Accounting ◽  
Derived Data

<p>Coping with the issue of water scarcity and growing competition for water among different sectors requires effective water management strategies and decision processes. ‘Getting it right’ becomes doubly important when dealing with intenational transboundary rivers. The Yarmouk tributary to the Jordan River is one highly exploited in the Middle East, and is enveloped by ambiguous treaties and decades of violent and non-violent conflict. Seeking to chart a more sustainable and equitable future, this work performs a 'water accounting plus' methodology employing readily available remotely sensed satellite-based data coupled with available measurements.  A variety of methods described herein were used to detect irrigated crops and produce maps showing the distribution throughout the basin. The framework also focuses on the classification of land use categories and the processes by which water is depleted over all land use classes that contributes to separate the beneficial from non-beneficial usage of water. The analysis was started prior to the 2011 start of the Syrian war in order to study the initial distribution of land use classes as well as the water depletion processes before any change in the basin. It shows that more than half of the exploitable water is not consumed within the basin and depleted outside. In contrast, most of the water consumed within the basin is wasted and depleted in a non-beneficial way. Roughly 35% of the cultivated area shown to be irrigated through withdrawals which exceed the capacity of the source. This result reflects the high abstraction rates from groundwater via a large number of unlicensed wells mostly located at the Syrian side. This study also detect a deficiency in the water balance of the Yarmouk River. The findings are relevant to sustainable management not only for water-dependent sectors but also for geopolitical stability among the riparian countries. In this way, open- access remote sensing derived data can provide useful information about the status of water resources especially when ground measurements are poor or absent.</p><p> </p><p>Keywords: Yarmouk, Water Accounting Plus, IWM, Irrigated crops, WAPOR.</p>

scholarly journals Knowledge and Data-Driven Mapping of Environmental Status Indicators from Remote Sensing and VGI

2020 ◽  
Vol 12 (3) ◽  
pp. 495
Author(s):  
Alessia Goffi ◽  
Gloria Bordogna ◽  
Daniela Stroppiana ◽  
Mirco Boschetti ◽  
Pietro Alessandro Brivio
Keyword(s):  
Remote Sensing ◽  
Geographic Information ◽  
Data Driven ◽  
Local Context ◽  
Contributing Factors ◽  
Optical Images ◽  
Environmental Status ◽  
The Status ◽  
Status Indicator

The paper proposes a transparent approach for mapping the status of environmental phenomena from multisource information based on both soft computing and machine learning. It is transparent, intended as human understandable as far as the employed criteria, and both knowledge and data-driven. It exploits remote sensing experts’ interpretations to define the contributing factors from which partial evidence of the environmental status are computed by processing multispectral images. Furthermore, it computes an environmental status indicator (ESI) map by aggregating the partial evidence degrees through a learning mechanism, exploiting volunteered geographic information (VGI). The approach is capable of capturing the specificities of local context, as well as to cope with the subjectivity of experts’ interpretations. The proposal is applied to map the status of standing water areas (i.e., water bodies and rivers and human-driven or natural hazard flooding) using multispectral optical images by ESA Sentinel-2 sources. VGI comprises georeferenced observations created both in situ by agronomists using a mobile application and by photointerpreters interacting with a geographic information system (GIS) using several information layers. Results of the validation experiments were performed in three areas of Northern Italy characterized by distinct ecosystems. The proposal showed better performances than traditional methods based on single spectral indexes.

scholarly journals CH4 IPDA Lidar mission data simulator and processor for MERLIN: prototype development at LMD/CNRS/Ecole Polytechnique

2018 ◽  
Vol 176 ◽  
pp. 02016
Author(s):  
Chomette Olivier ◽  
Raymond Armante ◽  
Cyril Crevoisier ◽  
Thibault Delahaye ◽  
Dimitri Edouart ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Atmospheric Methane ◽  
Differential Absorption ◽  
Prototype Development ◽  
The Status ◽  
École Polytechnique

The MEthane Remote sensing Lidar missioN (MERLIN), currently in phase C, is a joint cooperation between France and Germany on the development of a spatial Integrated Path Differential Absorption (IPDA) LIDAR (LIght Detecting And Ranging) to conduct global observations of atmospheric methane. This presentation will focus on the status of a LIDAR mission data simulator and processor developed at LMD (Laboratoire de Météorologie Dynamique), Ecole Polytechnique, France, for MERLIN to assess the performances in realistic observational situations.

scholarly journals Remote-Sensing-Based Water Balance for Monitoring of Evapotranspiration and Water Stress of a Mediterranean Oak–Grass Savanna

Water ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1418
Author(s):  
Elisabet Carpintero ◽  
Ana Andreu ◽  
Pedro J. Gómez-Giráldez ◽  
Ángel Blázquez ◽  
María P. González-Dugo
Keyword(s):  
Remote Sensing ◽  
Water Stress ◽  
Water Resources ◽  
Water Balance ◽  
Water Dynamics ◽  
Close Monitoring ◽  
Remotely Sensed Data ◽  
Oak Savannas ◽  
The Status ◽  
Sentinel 2

Mediterranean oak savannas (known as dehesas in Spain) are exposed to numerous threats from natural and economic causes. A close monitoring of the use of water resources and the status of the vegetation in these ecosystems can be useful tools for maintaining the production of ecological services. This study explores the estimation of evapotranspiration (ET) and water stress over a dehesa by integrating remotely sensed data into a water balance using the FAO-56 approach (VI-ETo model). Special attention is paid to the different phenology and contribution to the system’s hydrology of the two main canopy layers of the system (tree + grass). The results showed that the model accurately reproduced the dynamics of the water consumed by the vegetation, with RMSE of 0.47 mm day−1 and low biases for both, the whole system and the grass layer, when compared with flux tower measurements. The ET/ETo ratio helped to identify periods of water stress, confirmed for the grassland by measured soil water content. The modeling scheme and Sentinel-2 temporal resolution allowed the reproduction of fast and isolated ET pulses, important for understanding the hydrologic behavior of the system, confirming the adequacy of this sensor for monitoring grasslands water dynamics.

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