1. Retrieval of Information from Different Optical 3D Remote Sensing Sources for Use in Forest Inventory (3D-FORINVENT)
HRVATSKI ŠUMARSKI INSTITUT
CROATIAN FOREST RESEARCH INSTITUTE
Keywords: forest mensuration; forest management; remote sensing; digital photogrammetry; GIS
As the most widely distributed terrestrial ecosystem on the earth, forests provide many direct and indirect benefits to human well-being. Sustainable management of forests’ multiple functions and services requires spatially explicit information about forests state and development, which are usually acquired through forest inventories.
Although traditional field-based forest inventory can provide relatively accurate information, the process is time-consuming and labour intensive, and in some cases access to certain forest areas is not possible. Therefore, the potential of remote sensing (RS) application in forest inventory have been long recognized by both researchers and practicing foresters. Despite the availability of various RS data and great potential for their use, in Croatia as well as in many other countries, forest inventory is still based only on traditional field methods.
RESEARCH PROBLEM
Lowland pedunculate oak forests (Quercus robur L.) on the selected part of Pokupsko basin, Central Croatia (management unit "Jastrebarski lugovi").
RESEARCH AREA
To develop and evaluate methods and workflows for forest inventory applications based on different 3D RS data (UAS, aerial and satellite stereo images) aiming to improve efficiency and cost-effectiveness of current field-based inventory practices.
PROJECT GOAL
Research project of Croatian Science Foundation: IP
Duration: 01/03/2017 – 28/02/2021
Scientific area: Biotechnical sciences Scientific field: Forestry
forinvent/
MATERIALS AND METHODS
PROJECT TEAM
Dr.
Ivan BALENOVIĆ
Principal Investigator
Croatian Forest Research Institute;
Division for Forest Management and Forestry Economics
Zagreb, Croatia
1. FIELD MEASUREMENTS
Acquisition of field reference data
160 sample plots: recording of tree and plot locations; tree measurements (height, dbh, crown dimensions, etc.)
3. PROCESSING OF RS DATA
4. DATA ANALYSIS AND COMPARISON
TREE LEVEL
Number of detected (segmented) trees
Classification of tree species
Tree height
Crown diameter
DBH
Basal area
Volume
Biomass
...
SATELLITE IMAGES
(CHM, DOP)
AERIAL IMAGES
UAS IMAGES
FIELD DATA
PLOT LEVEL
Tree number
Mean plot height
Mean plot DBH
STAND LEVEL
Classification of forest stands by development stages and age classes
Mean stand height
Mean stand DBH …
STEREO IMAGES
DIGITAL SURFACE MODEL (DSM)
DIGITAL TERRAIN MODEL (DTM)
DIGITAL TERRAIN DATA
DIGITAL ORTHOPHOTO (DOP)
Automatic segmentation and classification of individual trees and forest stands
Estimation of the main tree and forest stand attributes
CANOPY HEIGHT MODEL (CHM)
vs.
vs.
vs.
Image matching
TIN
Interpolation
Prof. Dr.
Anita SIMIC MILAS
Bowling Green State University; School of Earth, Environment and Society
Bowling Green, OH, USA
DSM - DTM
Orthorectification
2. ACQUISITION OF RS DATA
Prof. Dr.
Ante SELETKOVIĆ
University of Zagreb; Faculty of Forestry;
Department of Forest Inventory and Management
Zagreb, Croatia
SATELLITE IMAGES
(GSD ≈ 50 cm)
AERIAL IMAGES
(GSD ≈ 30 cm)
Dr.
Maša Zorana OSTROGOVIĆ SEVER
Croatian Forest Research Institute;
Division for Forest Management and Forestry Economics
Zagreb, Croatia
UAS IMAGES
(GSD ≈ 10 cm)
The first comparison results on accuracy and reliability of application of different 3D remote sensing data (satellite, aerial and UAS images) for forest inventory in the lowland even-aged oak forest in Croatia.
EXPECTED
RESULTS