PMID- 24682603
OWN - NLM
STAT- MEDLINE
DCOM- 20140926
LR  - 20211021
IS  - 1573-2959 (Electronic)
IS  - 0167-6369 (Linking)
VI  - 186
IP  - 7
DP  - 2014 Jul
TI  - Geo-spatial analysis of the temporal trends of kharif crop phenology metrics over 
      India and its relationships with rainfall parameters.
PG  - 4531-42
LID - 10.1007/s10661-014-3717-6 [doi]
AB  - The Global Inventory Modeling and Mapping Studies bimonthly Normalized Difference 
      Vegetation Index (NDVI) data of 8 x 8 km spatial resolution for the period of 
      1982-2006 were analyzed to detect the trends of crop phenology metrics (start of 
      the growing season (SGS), seasonal NDVI amplitude (AMP), seasonally integrated 
      NDVI (SiNDVI)) during kharif season (June to October) and their relationships 
      with the amount of rainfall and the number of rainy days over Indian 
      subcontinent. Direction and magnitude of trends were analyzed at pixel level 
      using the Mann-Kendall test and further assessed at meteorological subdivision 
      level using field significance test (alpha = 0.1). Significant pre-occurrence of the 
      SGS was observed over northern (Punjab, Haryana) and central (Marathwada, 
      Vidarbha and Madhya Maharashtra) parts, whereas delay was found over southern 
      (Rayalaseema, Coastal Andhra Pradesh) and eastern (Bihar, Gangetic West Bengal 
      and Sub-Himalayan West Bengal) parts of India. North, west, and central India 
      showed significant increasing trends of SiNDVI, corroborating the kharif food 
      grain production performance during the time frame. Significant temporal 
      correlation (alpha = 0.1) between the rainfall/number of rainy days and crop 
      phenology metrics was observed over the rainfed region of India. About 35-40 % of 
      the study area showed significant correlation between the SGS and the 
      rainfall/number of rainy days during June to August. June month rainfall/number 
      of rainy days was found to be the most sensitive to the SGS. The amount of 
      rainfall and the number of rainy days during monsoon were found to have 
      significant influence over the SiNDVI in 24-30 % of the study area. The crop 
      phenology metrics had significant correlation with the number of rainy days over 
      the larger areas than that of the rainfall amount.
FAU - Chakraborty, Abhishek
AU  - Chakraborty A
AD  - National Remote Sensing Centre, Indian Space Research Organization, Balanagar, 
      Hyderabad, 500037, India, jeet.abhishek@gmail.com.
FAU - Seshasai, M V R
AU  - Seshasai MV
FAU - Dadhwal, V K
AU  - Dadhwal VK
LA  - eng
PT  - Journal Article
DEP - 20140329
PL  - Netherlands
TA  - Environ Monit Assess
JT  - Environmental monitoring and assessment
JID - 8508350
SB  - IM
MH  - Crops, Agricultural/*growth & development
MH  - *Environmental Monitoring
MH  - India
MH  - *Rain
MH  - Seasons
MH  - *Spatio-Temporal Analysis
EDAT- 2014/04/01 06:00
MHDA- 2014/09/27 06:00
CRDT- 2014/04/01 06:00
PHST- 2013/09/08 00:00 [received]
PHST- 2014/03/06 00:00 [accepted]
PHST- 2014/04/01 06:00 [entrez]
PHST- 2014/04/01 06:00 [pubmed]
PHST- 2014/09/27 06:00 [medline]
AID - 10.1007/s10661-014-3717-6 [doi]
PST - ppublish
SO  - Environ Monit Assess. 2014 Jul;186(7):4531-42. doi: 10.1007/s10661-014-3717-6. 
      Epub 2014 Mar 29.