Forest Biomass Mapping Using Continuous InSAR and Discrete Waveform Lidar Measurements: A TanDEM-X/GEDI Test Study

被引:2
|
作者
Choi, Changhyun [1 ]
Pardini, Matteo [1 ]
Armston, John [2 ]
Papathanassiou, Konstantinos P. [1 ]
机构
[1] Deutsch Zentrum Luft & Raumfahrt Standort Oberpfaf, Microwave Inst, D-82234 Wessling, Germany
[2] Univ Maryland Coll Pk, Dept Geog Sci, College Pk, MD 20742 USA
关键词
Above ground biomass (AGB); forest height; forest structure; GEDI; synthetic aperture radar (SAR); SAR interferometry; tandem-x; waveform lidar; HEIGHT ESTIMATION; X INSAR; INTERFEROMETRY; BACKSCATTER; DENSITY; MODELS;
D O I
10.1109/JSTARS.2023.3302026
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This article addresses the implementation of an above ground biomass (AGB) estimation scheme relying on the height-to-biomass allometry at stand level in the context of the synergistic use of continuous TanDEM-X (bistatic) interferometric synthetic aperture radar acquisitions and spatial discrete GEDI waveform lidar measurements. The estimation of forest height and horizontal forest structure from TanDEM-X data in the absence of a digital terrain model (DTM) is discussed. The possibility of estimating (top) canopy height variations independent of topographic height variations is discussed using wavelet-based scale analysis. This understanding is then exploited to define a structure index expressing the (top) canopy-only height variations in the absence of a DTM. The potential of using the derived structure information to account for the spatial variability of height-to-biomass allometry derived from the GEDI measurements is addressed. The performance of the conventional height-to-biomass allometry and the one achieved by the locally adapted implementation are compared against reference lidar measurements and discussed. The analysis is carried out using GEDI and TanDEM-X interferometric measurements and validated by using LVIS lidar measurements over the Lope National Park, a diverse tropical forest test site in Gabon.
引用
收藏
页码:7675 / 7689
页数:15
相关论文
共 46 条
  • [21] TROPICAL FOREST TREE HEIGHT AND ABOVE GROUND BIOMASS MAPPING IN NEPAL USING TANDEM-X AND ALOS PALSAR DATA
    Antropov, Oleg
    Rauste, Yrjo
    Tegel, Katri
    Baral, Yamuna
    Junttila, Virpi
    Kauranne, Tuomo
    Hame, Tuomas
    Praks, Jaan
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 5334 - 5336
  • [22] Biomass estimation in a boreal forest from TanDEM-X data, lidar DTM, and the interferometric water cloud model
    Askne, Jan I. H.
    Soja, Maciej J.
    Ulander, Lars M. H.
    REMOTE SENSING OF ENVIRONMENT, 2017, 196 : 265 - 278
  • [23] Improving Forest Height-To-Biomass Allometry With Structure Information: A Tandem-X Study
    Choi, Changhyun
    Pardini, Matteo
    Heym, Michael
    Papathanassiou, Konstantinos P.
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 : 10415 - 10427
  • [24] WIDE AREA FOREST HEIGHT MAPPING USING TANDEM-X STANDARD MODE DATA
    Chen, H.
    Goodenough, D. G.
    Cloude, S. R.
    Padda, P.
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 3782 - 3785
  • [25] Aboveground biomass modeling using simulated Global Ecosystem Dynamics Investigation (GEDI) waveform LiDAR and forest inventories in Amazonian rainforests
    Fareed, Nadeem
    Numata, Izaya
    Cochrane, Mark A.
    Novoa, Sidney
    Tenneson, Karis
    Melo, Antonio Willian Flores de
    da Silva, Sonaira Souza
    Oliveira, Marcus Vinicio Neves d’
    Nicolau, Andrea
    Zutta, Brian
    Forest Ecology and Management, 2025, 578
  • [26] COMPARISON OF TANDEM-X INSAR AND TERRASAR-X STEREO-RADARGRAMMETRIC 3D METRICS IN MAPPING OF FOREST RESOURCES
    Karila, K.
    Karjalainen, M.
    Yu, X.
    Vastaranta, M.
    Holopainen, M.
    Hyyppa, J.
    36TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT, 2015, 47 (W3): : 425 - 431
  • [27] COMPARING TANDEM-X INSAR FOREST STAND VOLUME PREDICTION MODELS TRAINED USING FIELD AND ALS DATA
    Mukhopadhyay, Ritwika
    Nilsson, Mats
    Ekstrom, Magnus
    Lindberg, Eva
    Persson, Henrik J.
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 3253 - 3256
  • [28] USING THE TWO-LEVEL MODEL WITH TANDEM-X FOR LARGE-SCALE FOREST MAPPING
    Persson, Henrik J.
    Soja, Maciej J.
    Fransson, Johan E. S.
    Ulander, Lars M. H.
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 4484 - 4487
  • [29] Experiences from Large-Scale Forest Mapping of Sweden Using TanDEM-X Data
    Persson, Henrik J.
    Olsson, Hakan
    Soja, Maciej J.
    Ulander, Lars M. H.
    Fransson, Johan E. S.
    REMOTE SENSING, 2017, 9 (12):
  • [30] Mapping boreal forest biomass from a SRTM and TanDEM-X based on canopy height model and Landsat spectral indices
    Sadeghi, Yaser
    St-Onge, Benoit
    Leblon, Brigitte
    Prieur, Jean-Francois
    Simard, Marc
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2018, 68 : 202 - 213