scholarly journals Remote Sensing Technology Applications in Forestry and REDD+

Forests ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 188 ◽  
Author(s):  
Kim Calders ◽  
Inge Jonckheere ◽  
Joanne Nightingale ◽  
Mikko Vastaranta
Keyword(s):  
Remote Sensing ◽  
Low Cost ◽  
Three Dimensional ◽  
Forest Monitoring ◽  
Forest Change ◽  
Terrestrial Lidar ◽  
Sensing Technology ◽  
Technology Applications ◽  
Recent Developments ◽  
Close Range

Advances in close-range and remote sensing technologies drive innovations in forest resource assessments and monitoring at varying scales. Data acquired with airborne and spaceborne platforms provide us with higher spatial resolution, more frequent coverage and increased spectral information. Recent developments in ground-based sensors have advanced three dimensional (3D) measurements, low-cost permanent systems and community-based monitoring of forests. The REDD+ mechanism has moved the remote sensing community in advancing and developing forest geospatial products which can be used by countries for the international reporting and national forest monitoring. However, there still is an urgent need to better understand the options and limitations of remote and close-range sensing techniques in the field of degradation and forest change assessment. This Special Issue contains 12 studies that provided insight into new advances in the field of remote sensing for forest management and REDD+. This includes developments into algorithm development using satellite data; synthetic aperture radar (SAR); airborne and terrestrial LiDAR; as well as forest reference emissions level (FREL) frameworks.

scholarly journals SYNCHRONIZATION OF PICAM CAMERAS FOR THREE-DIMENSIONAL STUDY OF DYNAMIC MULTI-DOMAINS NATURAL SCENES

2020 ◽  
Vol V-1-2020 ◽  
pp. 277-284
Author(s):  
L. Avanthey ◽  
L. Beaudoin ◽  
C. Villard ◽  
S. Mellouk ◽  
R. Treglia
Keyword(s):  
Remote Sensing ◽  
3D Reconstruction ◽  
Low Cost ◽  
Three Dimensional ◽  
Main Issue ◽  
Natural Scenes ◽  
Dynamic Scenes ◽  
Final Model ◽  
Close Range

Abstract. In this article, we study the interest of PiCam and its possibilities offered for the realization of a light payload (small and inexpensive) in order to perform the 3D reconstruction of dynamic scenes (underwater or aerial) in close-range remote sensing. We see that on these observation scales, movements of the scenes due to flora and fauna cannot be ignored if we want these objects to be part of the final model. We review the sensors used in the literature for 3D reconstruction and then present the arguments in favor of PiCam with regard to the constraints posed by the use of light and agile vectors. The main issue is the synchronization of these low cost sensors, which is not native: we explain the different steps to obtain a satisfactory synchronization rate with regard to the dynamism of the studied scenes and present the results obtained.

scholarly journals Geometric Recognition of Moving Objects in Monocular Rotating Imagery Using Faster R-CNN

2020 ◽  
Vol 12 (12) ◽  
pp. 1908
Author(s):  
Tzu-Yi Chuang ◽  
Jen-Yu Han ◽  
Deng-Jie Jhan ◽  
Ming-Der Yang
Keyword(s):  
Object Recognition ◽  
Moving Objects ◽  
Low Cost ◽  
Three Dimensional ◽  
Real Life ◽  
Moving Object ◽  
Camera Motion ◽  
Ptz Camera ◽  
Real Life Data ◽  
Close Range

Moving object detection and tracking from image sequences has been extensively studied in a variety of fields. Nevertheless, observing geometric attributes and identifying the detected objects for further investigation of moving behavior has drawn less attention. The focus of this study is to determine moving trajectories, object heights, and object recognition using a monocular camera configuration. This paper presents a scheme to conduct moving object recognition with three-dimensional (3D) observation using faster region-based convolutional neural network (Faster R-CNN) with a stationary and rotating Pan Tilt Zoom (PTZ) camera and close-range photogrammetry. The camera motion effects are first eliminated to detect objects that contain actual movement, and a moving object recognition process is employed to recognize the object classes and to facilitate the estimation of their geometric attributes. Thus, this information can further contribute to the investigation of object moving behavior. To evaluate the effectiveness of the proposed scheme quantitatively, first, an experiment with indoor synthetic configuration is conducted, then, outdoor real-life data are used to verify the feasibility based on recall, precision, and F1 index. The experiments have shown promising results and have verified the effectiveness of the proposed method in both laboratory and real environments. The proposed approach calculates the height and speed estimates of the recognized moving objects, including pedestrians and vehicles, and shows promising results with acceptable errors and application potential through existing PTZ camera images at a very low cost.

scholarly journals Workflow: From photo-based 3-D reconstruction of remotely piloted aircraft images to a 3-D geological model

Geosphere ◽  
2019 ◽  
Vol 15 (4) ◽  
pp. 1393-1408 ◽  
Author(s):  
Reuben J. Hansman ◽  
Uwe Ring
Keyword(s):  
Remote Sensing ◽  
United Arab Emirates ◽  
Low Cost ◽  
Three Dimensional ◽  
Point Clouds ◽  
Geological Mapping ◽  
Geological Model ◽  
Geological Processes ◽  
Aerial Imaging ◽  
Remotely Piloted Aircraft

AbstractGeological field mapping is a vital first step in understanding geological processes. During the 20th century, mapping was revolutionized through advances in remote sensing technology. With the recent availability of low-cost remotely piloted aircraft (RPA), field geologists now routinely carry out aerial imaging without the need to use satellite, helicopter, or airplane systems. RPA photographs are processed by photo-based three-dimensional (3-D) reconstruction software, which uses structure-from-motion and multi-view stereo algorithms to create an ultra-high-resolution, 3-D point cloud of a region or target outcrop. These point clouds are analyzed to extract the orientation of geological structures and strata, and are also used to create digital elevation models and photorealistic 3-D models. However, this technique has only recently been used for structural mapping. Here, we outline a workflow starting with RPA data acquisition, followed by photo-based 3-D reconstruction, and ending with a 3-D geological model. The Jabal Hafit anticline in the United Arab Emirates was selected to demonstrate this workflow. At this anticline, outcrop exposure is excellent and the terrain is challenging to navigate due to areas of high relief. This makes for an ideal RPA mapping site and provides a good indication of how practical this method may be for the field geologist. Results confirm that RPA photo-based 3-D reconstruction mapping is an accurate and cost-efficient remote sensing method for geological mapping.

Preliminary Analysis Method of Reservoir Leakage Based on GIS

2013 ◽  
Vol 838-841 ◽  
pp. 1641-1650 ◽  
Author(s):  
Bo Xu ◽  
Mo Wen Xie ◽  
Li Wei Wang
Keyword(s):  
Remote Sensing ◽  
Preliminary Analysis ◽  
Three Dimensional ◽  
Geological Structure ◽  
3D Technology ◽  
Visualization System ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
The Subject ◽  
Geological Complexity

Due to the geological complexity of the wide reservoir area, reservoir leakage problem has been the subject of Research in Water Resources and Hydropower Engineering. In recent years, the development and application of GIS (Geographic Information System), remote sensing technology and three-dimensional (3D) technology, have provided a powerful tool in analysis of the reservoir leakage problem. Based on the 3D remote sensing image visualization system created with remote sensing technology, GIS, 3D technology, this paper studies the leakage problem of a reservoir. By analyzing the terrain data, we can find the might existing leaking channels combining, combining lithology, geological structure and hydrogeological conditions. Then calculate the leakage quantity to evaluate the reservoir leakage. With the characteristic of accuracy and timeliness, the system will play an important role in preliminary analysis of reservoir leakage problemas well as forecasting decision making.

Multistack Close Range Photogrammetry for Low Cost Submillimeter Metrology

2013 ◽  
Vol 13 (4) ◽  
Author(s):  
L. M. Galantucci ◽  
F. Lavecchia ◽  
G. Percoco
Keyword(s):  
Surface Topography ◽  
Research Effort ◽  
Low Cost ◽  
Three Dimensional ◽  
Robotic Systems ◽  
Image Composition ◽  
Close Range Photogrammetry ◽  
Considerable Research ◽  
Close Range ◽  
Dimensional Surface

Considerable research effort has been focused on evaluating the accuracy of meso- and macroscale digital close range photogrammetry. However, evaluations of accuracy and applications in the submillimeter scale are rare. In this paper the authors propose the development of a three-dimensional (3D) photogrammetric scanner, based on macrolens cameras, able to reconstruct the three-dimensional surface topography of objects with submillimeter features. The system exploits multifocal image composition and has been designed for installation on all types of Numerical Controlled or Robotic systems. The approach is exploitable for digitizing submillimeter features at mesoscale as well as macroscale objects.

scholarly journals FIRST ASSESSMENTS ON HERITAGE SCIENCE ORIENTED IMAGE-BASED MODELING USING LOW-COST MODIFIED AND MOBILE CAMERAS

2019 ◽  
Vol XLII-2/W17 ◽  
pp. 23-30 ◽  
Author(s):  
E. Adamopoulos ◽  
F. Rinaudo ◽  
A. Bovero
Keyword(s):  
Large Scale ◽  
Low Cost ◽  
Three Dimensional ◽  
Metric Properties ◽  
Scientific Investigations ◽  
Three Dimensional Modeling ◽  
Heritage Science ◽  
Thermal Cameras ◽  
Recent Developments ◽  
Good Quality Image

Abstract. Three-dimensional modeling of cultural heritage, especially concerning large scale studies, as for example, archaeometry, diagnostics and conservation intervention applications, which usually require high-resolution and multi-spectral analyses, necessitates the use of complicate and often expensive equipment. Recent developments regarding low-cost commercially available spectrally modified digital reflex cameras, smartphones with good quality image sensors, mobile thermal cameras in combination with automated or semi-automated photogrammetric software implementing Structure from Motion (SfM) and Multiview Stereo (MVS) algorithms constitute some cheaper and simpler alternatives. Although, the results of the integration of these types of sensors and techniques are often not evaluated as metric products. The presented research combines the above-mentioned instrumentation and software to implement and evaluate low-cost 3D modeling solutions on heritage science-oriented case studies, but also to perform some first assessments on the resulting models' metric properties, quality of texture and usefulness for further scientific investigations.

scholarly journals Development of a Compatible, Low Cost and High Accurate Conservation Remote Sensing Technology for the Hygrothermal Assessment of Historic Walls

Electronics ◽  
2019 ◽  
Vol 8 (6) ◽  
pp. 643 ◽  
Author(s):  
Elena Lucchi ◽  
Luisa Dias Pereira ◽  
Mirco Andreotti ◽  
Roberto Malaguti ◽  
David Cennamo ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Data Acquisition ◽  
Data Storage ◽  
Communication Systems ◽  
Low Cost ◽  
Environmental Parameters ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Remote Sensing Technology ◽  
Sensing Technology

This article aims to properly assess the hygrothermal properties of walls located in historic buildings, this study discloses the development of a remote sensing technology compatible with an in-situ measurement implemented in Palazzo Tassoni (Italy). As required by the international recommendations adapted to cultural heritage (CH), this monitoring system balances CH conservation, performance aspects and economic costs using an integrated multidisciplinary approach. Electronics for measurement of environmental parameters is composed of sensor measurements, data acquisition system and data storage and communication system. Data acquisition system, equipped with standard modbus-rtu interface, is designed to run standalone and it is based on two cloned single board PCs to reduce the possibility of data loss. In order to reduce the costs, RaspberryPI single board PCs were chosen. These run a C/C++ software based on standard modbus library and designed to implement multi-client server TCP/IP to allow communication with other devices. Storage and communication systems are based on an industrial PC; it communicates with sensor measurements’ system through a modbus-TCPIP bridge. PC runs a Labview software to provide data storage on a local database and graphical user interface to properly see all acquired data. Herein, some sensing options and approaches of measurement are described, unveiling different possible ways of enhancing the retrofit of CH with adapted technology.

Feature Information Extraction of Landslide Based on the UAV Big-Slant-Angle Side-Look Image after Earthquake

2013 ◽  
Vol 373-375 ◽  
pp. 638-643
Author(s):  
Zhuo Wei Hu ◽  
Lai Wei ◽  
Qian Zhang
Keyword(s):  
Remote Sensing ◽  
Information Extraction ◽  
Image Recognition ◽  
Rotation Angle ◽  
Three Dimensional ◽  
Landslide Area ◽  
Slant Angle ◽  
Close Range Photogrammetry ◽  
Close Range ◽  
Terrain Surface

Unmanned Aerial Vehicle (UAV) remote sensing technology has the real-time ability to obtain ground images at earthquake landslide area. It makes it possible to extract landslide disaster information, support emergency rescue and decrease losses at the first second after earthquake. However, UAV remote sensing is prone to produce images with big-slant-angle. Although it is not fit for object measuring by traditional photogrammetry, it is benefit for observing slope at a better angle and extracting slope characteristics quantitatively. In this research, we define UAV big-slant-angle data as side-look images for earthquake landslide, which is based on an UAV close range photogrammetry idea. Image recognition of earthquake landslide area and three dimensional measuring of slope features will be researched. First of all, a projection datum plane along slope normal will be simulated according to the terrain surface. Appropriate images will be selected by evaluating camera pose and landslide overlapping rate. Secondly, orthogonal rotation matrixes are used to do 3D datum transformation with big-rotation-angle. Settlement of collinearity equations considering big-slant-angle condition will be researched. On this basis, dependent relative orientation among image series will be done to construct a three dimensional side-look-image model. At last, landslide image recognition, slope terrain surface reconstruction and landslide feature measurement is considered to cover the contents of earthquake landslide information extraction. Structural features and combined features can be analyzed and calculated on this basis. A rigorous solution of forward intersection in close range photogrammetry with big-slant-angle will be researched. Slope feature geometry and its relationship among images are to be considered to make a credible characteristic matching thinking big-rotation-angle exists. It has potentiality to provide variety landslide information with higher geometrical precision for cartography and risk analysis of earthquake landslide.

Sign in / Sign up

Export Citation Format

Share Document