Spatial mapping of growing degree days: an application of MODIS-based surface temperatures and enhanced vegetation index

Hassan, Quazi K.; Bourque, Charles P.‐A.; Meng, Fan‐Rui; Richards, William G.

doi:10.1117/1.2740040

Cited by 63 publications

(61 citation statements)

References 11 publications

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“…where a T is the daily mean air temperature and equal to daily mean T S [25][26][27], T base is the threshold temperature, below which plant growth ceases (approximately, 5 o C for bF; [21]), and i = 1 represents the start-day and i = n, the end-day of the growing season. Figure 2 demonstrates the relationship between a T and daily mean T S over a bF forest near the southern limit of the study area (Nashwaak Lake, NB).…”

Section: Growing Degree Days (Gdd)mentioning

confidence: 99%

“…Figure 2 demonstrates the relationship between a T and daily mean T S over a bF forest near the southern limit of the study area (Nashwaak Lake, NB). Statistical comparison of values yielded an r 2 -value = 0.99 and regression equation slope of 1.01 and intercept of 1.98 K. Note that in order to enhance the spatial resolution of the initial GDD map originally at 1-km resolution to 250-m resolution, a data fusion method was developed relating enhanced GDD to seasonally-averaged EVI [21]. Correlation between GDD and EVI was demonstrated to be fairly strong (r 2 = 0.87).…”

Section: Growing Degree Days (Gdd)mentioning

confidence: 99%

“…In 2003, Turner et al [20] predicted the widespread development of mapping techniques of landscapebiophysical conditions with MODIS-sensor acquired data (250-m to 1-km resolution, with a 1 to 2-day revisitation cycle). In previous work we have developed several methods to map the biophysical properties of landscapes relevant to understanding tree species distribution in Atlantic Canada, in particular growing degree days (GDD, a temperature-related index of plant growth; [21]) and temperature-vegetation, land-surface wetness index (TVWI; an indirect measure of soil water content, SWC [22]). …”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we provide a framework for modelling potential species distribution (PSD) of balsam fir [bF; Abies balsamea (L.) Mill] as a function of spatial indices of MODIS-based temperature (by means of GDD) and land-surface moisture (TVWI; [21,22]), and incident photosynthetically active radiation (PAR) simulated with the Landscape Distribution of Soil moisture, Energy, and Temperature (LanDSET) model at 250-m resolution [5,17]. No attempt is made to address forest and landscapeforming dynamics associated with inter-and intra-species competition, forest succession, species invasion and extirpation, and disturbance in our definition of PSD.…”

Section: Introductionmentioning

confidence: 99%

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Potential Species Distribution of Balsam Fir Based on the Integration of Biophysical Variables Derived with Remote Sensing and Process-Based Methods

Hassan

Bourque

2009

Remote Sensing

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Abstract:In this paper we present a framework for modelling potential species distribution (PSD) of balsam fir [bF; Abies balsamea (L.) Mill.] as a function of landscape-level descriptions of: (i) growing degree days (GDD: a temperature related index), (ii) landsurface wetness, (iii) incident photosynthetically active radiation (PAR), and (iv) tree habitat suitability. GDD and land-surface wetness are derived primarily from remote sensing data acquired with the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on the Terra satellite. PAR is calculated with an existing spatial model of solar radiation. Raster-based calculations of habitat suitability and PSD are obtained by multiplying normalized values of species environmental-response functions (one for each environmental variable) parameterized for balsam fir. As a demonstration of the procedure, we apply the calculations to a high bF-content area in northwest New Brunswick, Canada, at 250-m resolution. Location of medium-to-high habitat suitability values (i.e., >0.50) and actual forests, with >50% bF, matched on average 92% of the time.

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Section: Growing Degree Days (Gdd)mentioning

confidence: 99%

Section: Growing Degree Days (Gdd)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Potential Species Distribution of Balsam Fir Based on the Integration of Biophysical Variables Derived with Remote Sensing and Process-Based Methods

Hassan

Bourque

2009

Remote Sensing

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“…는 정보를 제공하고 있다 (Hassan et al, 2007). 우리나라 의 경우에도 농업분야에서는 작물 단위의 경영에 필요 한 정보를 제공하기 위해 생장도일 분포도를 제작한 바 있다 (Kim and Yun, 2008) …”

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Effect of Yearly Changes in Growing Degree Days on the Potential Distribution and Growth of Quercus mongolica in Korea

Lim¹,

Park²,

Shin³

2016

Korean Journal of Agricultural and Forest Meteorology

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This study was conducted to analyze the effect of yearly changes in growing degree days (GDD) on the potential distribution and growth of Quercus mongolica in Korea. Annual tree-ring growth data of Quercus mongolica collected by the 5 th National Forest Inventory were first organized to identify the range of current distribution for the species. Yearly GDD was calculated based on daily mean temperature data from 1951 to 2010 for counties with current distribution of Q. monglica. When tree-ring growth data were analyzed through cluster analysis based on similarity of climatic conditions, seven clusters were identified. Yearly GDD based on daily mean temperature data of each county were calculated for each of the cluster to predict the change of potential distribution. Temperature effect indices were estimated to predict the effect of GDD on the growth patterns. In addition, RCP 4.5 and RCP 8.5 of climate change scenarios were adopted to estimate yearly GDD and temperature effect indices from 2011 to 2100. The results indicate that the areas with low latitude and elevation exceed the upper threshold of GDD for the species due to the increase of mean temperature with climate change. It was also predicted that the steep increase of temperature will have negative influences on tree-ring growth, and will move the potential distribution of the species to areas with higher latitude or higher elevation, especially after the year of 2050. The results of this study are expected to provide valuable information necessary for estimating local growth characteristics and for predicting changes in the potential distribution of Q. mongolica caused by climate change.

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Spatial Analysis of Carbon Sequestration Mapping Using Remote Sensing and Satellite Image Processing

Sathvara,

Anuradha,

Sanjeevi

et al. 2023

Multimodal Biometric and Machine Learning Technologies

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Spatial mapping of growing degree days: an application of MODIS-based surface temperatures and enhanced vegetation index

Cited by 63 publications

References 11 publications

Potential Species Distribution of Balsam Fir Based on the Integration of Biophysical Variables Derived with Remote Sensing and Process-Based Methods

Potential Species Distribution of Balsam Fir Based on the Integration of Biophysical Variables Derived with Remote Sensing and Process-Based Methods

Effect of Yearly Changes in Growing Degree Days on the Potential Distribution and Growth of Quercus mongolica in Korea

Spatial Analysis of Carbon Sequestration Mapping Using Remote Sensing and Satellite Image Processing

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