Forest Assessment and Observation

2021 ◽  
pp. 23-80
Author(s):  
Klaus von Gadow ◽  
Juan Gabriel Álvarez González ◽  
Chunyu Zhang ◽  
Timo Pukkala ◽  
Xiuhai Zhao
Keyword(s):  
Forest Assessment

Comparing forest assessment based on computer visualization versus videography

2007 ◽  
Vol 81 (1-2) ◽  
pp. 146-154 ◽  
Author(s):  
Ikuko Fujisaki ◽  
Mahnas Jean Mohammadi-Aragh ◽  
David L. Evans ◽  
Robert J. Moorhead ◽  
Derek W. Irby ◽  
...  
Keyword(s):  
Forest Assessment ◽  
Computer Visualization

scholarly journals LiDAR with Pulsed Time of Flight

2021 ◽  
Author(s):  
S M Nazmuz Sakib
Keyword(s):  
Laser Scanning ◽  
Time Of Flight ◽  
Airborne Laser Scanning ◽  
Data Sets ◽  
Forest Assessment ◽  
Airborne Laser ◽  
Landscape Mapping ◽  
Research Findings ◽  
Assessment And Monitoring ◽  
Vegetation Measurement

LIDAR data has proved useful in recent years since it gives information such as item height and attributes, statistics over large regions, and it all becomes available by capturing the intensity of backscattered pulses in addition to 3D coordinates. “A LiDAR may generate a 2D angle image as well as a 3D picture containing angle/angle/range information. A LiDAR can directly measure range in each pixel since it controls when light is emitted, allowing it to calculate range based on the time of flight (ToF) to and from the object in a particular pixel. If there is enough signal, a 3D picture can also have grayscale and colour”. Coherent LiDAR can detect velocity quite precisely. Brief descriptions of airborne laser scanning technology [also known as "light detection and ranging" (LIDAR)] and research findings on its application in forest assessment and monitoring are included. Many airborne laser scanning missions are being flown with terrain mapping requirements, leading to data sets that are missing important data for vegetation evaluation. As a result, standards and criteria for airborne laser scanning missions are needed to guarantee that they are used for vegetation measurement and monitoring instead of merely landscape mapping (e.g., delivery of all return data with reflection intensity).

scholarly journals FOREST ASSESSMENT AND ACCOUNTING SOFTWARE

2021 ◽  
Author(s):  
Aleksey Mironenko ◽  
Sergey Matveev ◽  
Vasiliy Slavskiy ◽  
A. Revin
Keyword(s):  
Forest Inventory ◽  
Digital Technologies ◽  
Legal Framework ◽  
Nature Management ◽  
Public Authorities ◽  
Forest Assessment ◽  
Forestry Sector ◽  
Modern Level ◽  
Accounting Software ◽  
Production Problems

Forestry in Russia is experiencing a great need for digital technologies that can form and generalize existing databases. All participants are interested in the development of digital technologies in forest management, from the end user of forest resources to public authorities in the field of forest relations. At the same time, the modern level of forestry software requires modernization to solve specific problems. The team of the Department of Forestry, Forest Inventory and Forest Inventory of VGFTU has developed a number of automated systems that allow to quickly solve scientific and production problems in the field of forestry, ecology and nature management. The importance and relevance of this work is reflected in the “Strategy for the development of the forestry complex of the Russian Federation for the period up to 2030”.The modularity and scalability of such systems allows the authors to quickly make adjustments to their source code, which allows keeping the software up to date, which meets the modern requirements of the legal framework of the forestry sector.

scholarly journals Random forest assessment of correlation between environmental factors and genetic differentiation of populations: Case of marine mussels Mytilus

Oceanologia ◽  
2019 ◽  
Vol 61 (1) ◽  
pp. 131-142 ◽  
Author(s):  
Tomasz Kijewski ◽  
Malgorzata Zbawicka ◽  
Jakob Strand ◽  
Hans Kautsky ◽  
Jonne Kotta ◽  
...  
Keyword(s):  
Random Forest ◽  
Environmental Factors ◽  
Genetic Differentiation ◽  
Forest Assessment ◽  
Marine Mussels ◽  
Genetic Differentiation Of Populations

INTEGRATION OF GIS DATA AND CLASSIFIED SATELLITE IMAGERY FOR REGIONAL FOREST ASSESSMENT

1998 ◽  
Vol 8 (4) ◽  
pp. 1072-1083 ◽  
Author(s):  
Hong S. He ◽  
David J. Mladenoff ◽  
Volker C. Radeloff ◽  
Thomas R. Crow
Keyword(s):  
Satellite Imagery ◽  
Forest Assessment ◽  
Gis Data ◽  
Regional Forest

scholarly journals A Rapid Forest Assessment Method for Multiparty Monitoring Across Landscapes

2016 ◽  
Vol 114 (2) ◽  
pp. 125-133 ◽  
Author(s):  
Cory R. Davis ◽  
R. Travis Belote ◽  
Matthew A. Williamson ◽  
Andrew J. Larson ◽  
Bryce E. Esch
Keyword(s):  
Assessment Method ◽  
Forest Assessment

scholarly journals A Synthesis of Spatial Forest Assessment Studies Using Remote Sensing Data and Techniques in Pakistan

Forests ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1211
Author(s):  
Adeel Ahmad ◽  
Sajid Rashid Ahmad ◽  
Hammad Gilani ◽  
Aqil Tariq ◽  
Na Zhao ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Image Classification ◽  
Remote Sensing Data ◽  
Constitutional Amendment ◽  
Forest Mapping ◽  
Remote Sensing Classification ◽  
Sensing Data ◽  
Forest Assessment ◽  
Before And After ◽  
Supervised Image Classification

This paper synthesizes research studies on spatial forest assessment and mapping using remote sensing data and techniques in Pakistan. The synthesis states that 73 peer-reviewed research articles were published in the past 28 years (1993–2021). Out of all studies, three were conducted in Azad Jammu & Kashmir, one in Balochistan, three in Gilgit-Baltistan, twelve in Islamabad Capital Territory, thirty-one in Khyber Pakhtunkhwa, six in Punjab, ten in Sindh, and the remaining seven studies were conducted on national/regional scales. This review discusses the remote sensing classification methods, algorithms, published papers' citations, limitations, and challenges of forest mapping in Pakistan. The literature review suggested that the supervised image classification method and maximum likelihood classifier were among the most frequently used image classification and classification algorithms. The review also compared studies before and after the 18th constitutional amendment in Pakistan. Very few studies were conducted before this constitutional amendment, while a steep increase was observed afterward. The image classification accuracies of published papers were also assessed on local, regional, and national scales. The spatial forest assessment and mapping in Pakistan were evaluated only once using active remote sensing data (i.e., SAR). Advanced satellite imageries, the latest tools, and techniques need to be incorporated for forest mapping in Pakistan to facilitate forest stakeholders in managing the forests and undertaking national projects like UN’s REDD+ effectively.

scholarly journals Assessment of the mapping potential of Pléiades stereo and triplet data

2014 ◽  
Vol II-3 ◽  
pp. 103-109 ◽  
Author(s):  
R. Perko ◽  
H. Raggam ◽  
K. Gutjahr ◽  
M. Schardt
Keyword(s):  
Large Scale ◽  
Optical Data ◽  
Model Optimization ◽  
Location Accuracy ◽  
Sensor Model ◽  
Forest Assessment ◽  
Stereo Data ◽  
Surface Models ◽  
High Level ◽  
Very High

The Pléiades satellites provide very high resolution optical data at a swath width of 20 km and a ground sampling distance of about 0.7 m at nadir direction. The sensors are remarkable agile as their pointing angle can be changed in a range of ±47 degrees. Thus, they are able to collect three images in one over flight representing tri-stereo data. In the presented work the mapping potential of Pléiades stereo and tri-stereo data is assessed in detail. The assessment is performed on two test sites and contains discussions on 2D initial geo-location accuracy, sensor model optimization, 3D geo-location accuracy, and a novel workflow for dense reconstruction of digital surface models (DSMs). The main outcomes are that the sensor accuracy is within the range as defined by Astrium, however a sensor model optimization is obligatory when it comes to highly accurate 3D mapping. The derived DSMs show a high level of detail thus enabling varying applications on a large scale, like change detection or forest assessment.

scholarly journals CANOPY COVER ESTIMATION FROM SATELLITE DATA FOR <i>ACACIA MANGIUM</i> PLANTATION BASAY, NEGROS ORIENTAL

2019 ◽  
Vol XLII-4/W19 ◽  
pp. 421-423
Author(s):  
F. A. M. Tandoc ◽  
C. J. S. Sarmiento ◽  
E. C. Paringit ◽  
A. M. Tamondong ◽  
F. J. O. Pamittan ◽  
...  
Keyword(s):  
Canopy Cover ◽  
Acacia Mangium ◽  
Tree Height ◽  
Satellite System ◽  
Primary Forest ◽  
Remotely Sensed Data ◽  
Forest Assessment ◽  
Forest Measurement ◽  
Global Navigation Satellite ◽  
Forest Lands

Abstract. Forest assessment and measurement can be costly, laborious and time-consuming when done manually. Remote Sensing aids by providing data of sufficient accuracy for large tracts of forest lands in the form of maps. These data can then assist in decision- making for better forest management. This study estimated canopy cover, a primary forest measurement parameter, using remotely- sensed data. Satellite images such as Planetscope and WorldView were used to estimate canopy cover. The results were then compared to measurements obtained from a manual inventory – in this case, of an Acacia mangium plantation. The manual inventory was conducted in a National Greening Program (NGP) site in Basay, Negros Oriental. Field inventory involved a Static Global Navigation Satellite System (GNSS) survey and a Total Station survey to get the accurate location of trees present in the plot. Diameter- at- breast was measured for all trees. Tree height and crown diameter were measured for at least 10 percent of all trees in the plot.

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