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Title: A new approach to evaluate the MODIS annual NPP product (MOD17A3) using forest field data from Turkey

Abstract

In this study we present the first evaluation of the MODIS (MODerate resolution Imaging Spectroradiometer) annual Net Primary Product (NPP) for Turkey's forest ecosystems using field measurements. Due to lack of country scale field measurements (i.e. flux tower for forest ecosystems), tree DBH (Diameter at Breast Height) dataset provided by Ministry of Forest and Water Affair (MFWA) of Turkey is used to calculate NPP of Turkey’s forest ecosystems. The lack of a reliable NPP dataset leads the researchers to use global NPP models such as MODIS annual NPP product. The MODIS MOD17A3 product of vegetation net primary production (NPP) is one of the most highly used data sources for studies of global carbon 25 cycle. However, it is still necessary to test its predictions in multiple biomes, especially for heterogeneous areas in terms of its accuracy and potential bias. Here, we studied a new approach to evaluate coarse scale NPP estimates from the MODIS NPP- MOD17A3 data product, using 2008-2013 field measurements of tree growth throughout Turkey. There different methods were used to calculate field NPP, including standardized growth coefficients (MC), growth coefficients from North America (JC) and annual expected increment (AEI). The average NPP values for all the countrymore » is calculated as 2.06 kgC m-2(5years)-1 (0.412 kgC m-2 year-1) (SD = 1.15 kgC m-2 (5years)-1) from MOD17A3, 0.90 kgC m-2(5years)-1 (0.18 kgC m-2 year-1) (SD = 0.57 kgC m-2(5years)-1) with MC, 0.63 kgC m-2(5years)-1 (0.126 kgC m-2 year-1) (SD = 0.37 kgC m-2(5years)-1) with JC and 0.58 kgC m-2 year-1 (SD = 0.29 kgC m-2(5years)-1) with AEI for the studied plots. We found that the MODIS NPP product has a clear relation with both the NPP estimates obtained by using MC (R36 2 = 0.34, RMSE=1.51 kgC m-2(5years)-1) and JC (R37 2 = 0.32, RMSE = 1.73 kgC m-2(5years)-1). In addition to that, the relation between MOD17A3 product and AEI-derived NPP is relatively strong (R39 2 = 0.48, RMSE = 0.26 kgC m-2 year-1). We discuss possible reasons for these trade-offs among different methods. This study lays out a new approach to validate coarse scale MODIS product using field data directly, including for highly heterogeneous areas.« less

Authors:
 [1];  [2];  [3];  [2]
  1. Geodetic and Geographical Information Technologies (GGIT), Middle East Technical University, Cankaya/Ankara, Turkey; DOE Pacific Northwest National Laboratory, The Joint Global Change Research Institute (JGCRI), College Park, MD, USA
  2. DOE Pacific Northwest National Laboratory, The Joint Global Change Research Institute (JGCRI), College Park, MD, USA
  3. Geodetic and Geographical Information Technologies (GGIT), Middle East Technical University, Cankaya/Ankara, Turkey; Department of Civil Engineering, Middle East Technical University, Cankaya/Ankara, Turkey
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1437535
Report Number(s):
PNNL-SA-131709
Journal ID: ISSN 0143-1161
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: International Journal of Remote Sensing; Journal Volume: 39; Journal Issue: 8
Country of Publication:
United States
Language:
English
Subject:
MODIS; NPP; upscaling; field data; biomass; evaluation

Citation Formats

Gulbeyaz, Onder, Bond-Lamberty, Ben, Akyurek, Zuhal, and West, Tristram O. A new approach to evaluate the MODIS annual NPP product (MOD17A3) using forest field data from Turkey. United States: N. p., 2018. Web. doi:10.1080/01431161.2018.1430913.
Gulbeyaz, Onder, Bond-Lamberty, Ben, Akyurek, Zuhal, & West, Tristram O. A new approach to evaluate the MODIS annual NPP product (MOD17A3) using forest field data from Turkey. United States. doi:10.1080/01431161.2018.1430913.
Gulbeyaz, Onder, Bond-Lamberty, Ben, Akyurek, Zuhal, and West, Tristram O. Thu . "A new approach to evaluate the MODIS annual NPP product (MOD17A3) using forest field data from Turkey". United States. doi:10.1080/01431161.2018.1430913.
@article{osti_1437535,
title = {A new approach to evaluate the MODIS annual NPP product (MOD17A3) using forest field data from Turkey},
author = {Gulbeyaz, Onder and Bond-Lamberty, Ben and Akyurek, Zuhal and West, Tristram O.},
abstractNote = {In this study we present the first evaluation of the MODIS (MODerate resolution Imaging Spectroradiometer) annual Net Primary Product (NPP) for Turkey's forest ecosystems using field measurements. Due to lack of country scale field measurements (i.e. flux tower for forest ecosystems), tree DBH (Diameter at Breast Height) dataset provided by Ministry of Forest and Water Affair (MFWA) of Turkey is used to calculate NPP of Turkey’s forest ecosystems. The lack of a reliable NPP dataset leads the researchers to use global NPP models such as MODIS annual NPP product. The MODIS MOD17A3 product of vegetation net primary production (NPP) is one of the most highly used data sources for studies of global carbon 25 cycle. However, it is still necessary to test its predictions in multiple biomes, especially for heterogeneous areas in terms of its accuracy and potential bias. Here, we studied a new approach to evaluate coarse scale NPP estimates from the MODIS NPP- MOD17A3 data product, using 2008-2013 field measurements of tree growth throughout Turkey. There different methods were used to calculate field NPP, including standardized growth coefficients (MC), growth coefficients from North America (JC) and annual expected increment (AEI). The average NPP values for all the country is calculated as 2.06 kgC m-2(5years)-1 (0.412 kgC m-2 year-1) (SD = 1.15 kgC m-2 (5years)-1) from MOD17A3, 0.90 kgC m-2(5years)-1 (0.18 kgC m-2 year-1) (SD = 0.57 kgC m-2(5years)-1) with MC, 0.63 kgC m-2(5years)-1 (0.126 kgC m-2 year-1) (SD = 0.37 kgC m-2(5years)-1) with JC and 0.58 kgC m-2 year-1 (SD = 0.29 kgC m-2(5years)-1) with AEI for the studied plots. We found that the MODIS NPP product has a clear relation with both the NPP estimates obtained by using MC (R36 2 = 0.34, RMSE=1.51 kgC m-2(5years)-1) and JC (R37 2 = 0.32, RMSE = 1.73 kgC m-2(5years)-1). In addition to that, the relation between MOD17A3 product and AEI-derived NPP is relatively strong (R39 2 = 0.48, RMSE = 0.26 kgC m-2 year-1). We discuss possible reasons for these trade-offs among different methods. This study lays out a new approach to validate coarse scale MODIS product using field data directly, including for highly heterogeneous areas.},
doi = {10.1080/01431161.2018.1430913},
journal = {International Journal of Remote Sensing},
number = 8,
volume = 39,
place = {United States},
year = {Thu Jan 25 00:00:00 EST 2018},
month = {Thu Jan 25 00:00:00 EST 2018}
}