Application of a forest reflectance model in estimating leaf area index of Scots pine stands using Landsat-7 ETM reflectance data

2003 ◽  
Vol 29 (3) ◽  
pp. 314-323 ◽  
Author(s):  
Miina Rautiainen ◽  
Pauline Stenberg ◽  
Tiit Nilson ◽  
Andres Kuusk ◽  
Heikki Smolander
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Scots Pine ◽  
Area Index ◽  
Reflectance Model ◽  
Landsat 7 ◽  
Pine Stands ◽  
Reflectance Data ◽  
Scots Pine Stands

Performance of the LAI-2000 plant canopy analyzer in estimating leaf area index of some Scots pine stands

1994 ◽  
Vol 14 (7-8-9) ◽  
pp. 981-995 ◽  
Author(s):  
P. Stenberg ◽  
S. Linder ◽  
H. Smolander ◽  
J. Flower-Ellis
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Scots Pine ◽  
Plant Canopy ◽  
Area Index ◽  
Pine Stands ◽  
Scots Pine Stands

scholarly journals A Critical Comparison of Remote Sensing Leaf Area Index Estimates over Rice-Cultivated Areas: From Sentinel-2 and Landsat-7/8 to MODIS, GEOV1 and EUMETSAT Polar System

2018 ◽  
Vol 10 (5) ◽  
pp. 763 ◽  
Author(s):  
Manuel Campos-Taberner ◽  
Francisco García-Haro ◽  
Lorenzo Busetto ◽  
Luigi Ranghetti ◽  
Beatriz Martínez ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Area Index ◽  
Polar System ◽  
Critical Comparison ◽  
Landsat 7 ◽  
Sentinel 2

Landsat-5 TM and Landsat-7 ETM+ based accuracy assessment of leaf area index products for Canada derived from SPOT-4 VEGETATION data

2003 ◽  
Vol 29 (2) ◽  
pp. 241-258 ◽  
Author(s):  
Richard Fernandes ◽  
Chris Butson ◽  
Sylvain Leblanc ◽  
Rasim Latifovic
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Accuracy Assessment ◽  
Area Index ◽  
Landsat 7 ◽  
Landsat 5 Tm

scholarly journals Spatially and Temporally Continuous Leaf Area Index Mapping for Crops through Assimilation of Multi-resolution Satellite Data

2019 ◽  
Vol 11 (21) ◽  
pp. 2517 ◽  
Author(s):  
Huaan Jin ◽  
Weixing Xu ◽  
Ainong Li ◽  
Xinyao Xie ◽  
Zhengjian Zhang ◽  
...  
Keyword(s):  
Time Series ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Landsat 8 ◽  
Area Index ◽  
Spatio Temporal ◽  
Fine Resolution ◽  
Modis Lai ◽  
Temporal Profiles ◽  
Reflectance Data

As a key parameter that represents the structural characteristics and biophysical changes of crop canopy, the leaf area index (LAI) plays a significant role in monitoring crop growth and mapping yield. A considerable amount of farmland is dispersed with strong spatial heterogeneity. The existing time series satellite LAI products fail to capture spatial distributions and growth changes of crops due to coarse spatial resolutions and spatio-temporal discontinuities. Therefore, it becomes crucial for fine resolution LAI mapping in time series over crop areas. A two-stage data assimilation scheme was developed for dense time series LAI mapping in this study. A LAI dynamic model was first constructed using multi-year MODIS LAI data. This model coupled with the PROSAIL radiative transfer model, and MOD09A1 reflectance data were used to retrieve temporal LAI profiles at the 500 m resolution with the assistance of the very fast simulated annealing (VFSA) algorithm. Then, the LAI dynamics at the 500 m scale were incorporated as prior information into the Landsat 8 OLI reflectance data for time series LAI mapping at the 30 m resolution. Finally, the spatio-temporal continuities and retrieval accuracies of assimilated LAI values were assessed at the 500 m and 30 m resolutions respectively, using the MODIS LAI product, fine resolution LAI reference map and field measurements. The results indicated that the assimilated the LAI estimations at the 500 m scale effectively eliminated the spatio-temporal discontinuities of the MODIS LAI product and displayed reasonable temporal profiles and spatial integrity of LAI. Moreover, the 30 m resolution LAI retrievals showed more abundant spatial details and reasonable temporal profiles than the counterparts at the 500 m scale. The determination coefficient R2 between the estimated and field LAI values was 0.76 with a root mean square error (RMSE) value of 0.71 at the 30 m scale. The developed method not only improves the spatio-temporal continuities of the LAI at the 500 m scale, but also obtains 30 m resolution LAI maps with fine spatial and temporal consistencies, which can be expected to meet the needs of analysis on crop dynamic changes and yield mapping in fragmented and highly heterogeneous areas.

scholarly journals A methodological approach for the assessment of basic crown parameters in Scots pine stands

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Vidas Stakėnas ◽  
Iveta Varnagirytė-Kabašinskienė ◽  
Audrius Kabašinskas
Keyword(s):  
Surface Area ◽  
Scots Pine ◽  
Measurement Techniques ◽  
Forest Monitoring ◽  
Tree Crown ◽  
Area Index ◽  
Wide Range ◽  
Crown Defoliation ◽  
Pine Stands ◽  
Scots Pine Stands

Among other measurement techniques applied for the assessment of leaf area index, direct methods are still valued as the most accurate measures and often implemented as calibration tools. Even though more attention has been given to indirect measurements of tree crown properties in forest ecosystems over the last decades, the present study was designed to discuss the direct (destructive) and indirect (non-destructive) methods used for the assessment of crown measures in the stands defoliated from 20 to 90%. The stands with similar stand characteristics and representing relatively wide range of defoliation served as an appropriate target for the assessment of foliage mass variations. Overall, this study showed that the foliage mass or its surface area and defoliation at the stand level can be determined by the conventional methods used for the assessment of defoliation in forest monitoring programme as well as the PAR transmission methods. The findings showed that needle surface area decreased with the increase of tree defoliation; however, the changes of branch and stem surface areas were insignificant. Otherwise, the branch and shoot area contribute significantly to the total vegetation surface area at least in Scots pine stands. This study also strengthened the idea that the indirect measurement of vegetation area index underestimated vegetation area index at least in Scots pine stands defoliated less than 60%. The multivariate regression models were developed using tree diameter at breast height and tree crown defoliation ranges to estimate needle surface area. Keywords: Pinus sylvestris, crown defoliation, needle area index, regression model

Leaf area index and canopy stratification in Scots pine ( Pinus sylvestris L.) stands

2002 ◽  
Vol 23 (18) ◽  
pp. 3605-3618 ◽  
Author(s):  
K. Soudani ◽  
J. Trautmann ◽  
J.-M. N. Walter
Keyword(s):  
Pinus Sylvestris ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Scots Pine ◽  
Area Index
Sign in / Sign up

Export Citation Format

Share Document