Dear friends I am trying to estimate the real time agriculture crop biomass. Can some share ideas or methods to estimate crop biomass by using remote sensing & data with me.
Remote sensing with GS together cannot do it alone. In fact, different Crop Growing models developed over forty years can be used to reflect the crop growing process and monitor the crop condition accurately. Remote sensed data can be used as input on regional scale to work out crop biomass. However, for accurate results, Crop Growing models use lots of agro-parameters and the models must be calibrated by local field data to be run at different places.
Since, the fundamental idea of crop growing model is to reflect the crop growing process with mathematic formula. The drive of all the crop growing models is the interception of solar radiation for vegetation canopy and the photosynthesis that produce the dry biomass. Therefore, at small scale for a Crop Biomass or with sample inputs from a large area Monteith’s method can be used:
Biomass=APAR*e (Monteith, 1972)
Where:
e: the light-use efficiency in units of g biomass MJ-1
http://www.unc.edu/courses/2007fall/geog/801/001/www/carbon/Monteith72_JApplEcol.pdf
APAR: absorbed photo synthetically active radiation
Variability in e can result from a variety of nutrient, water. Numerous studies have demonstrated that if not water short, and temperature is optimal, e is a relatively constant property of plants.
In some calculation the effect of temperature and soil moisture is considered for accuracy increment.
Variability in e can result from a variety of nutrient, water, and temperature stresses (Russell et al., 1989)
APAR is a fraction of PAR2 that absorbed by canopy.
Russell, G., Jarvis, P.G., Monteith, J. L., 1989: “Absorption of radiation by canopies and stand growth” In Russell, G., Marshall, B., Jarvis, P.G. (Eds.), Plant Canopies: Their Growth, Form and Function
Or
http://link.springer.com/article/10.1007/s00484-009-0279-3/fulltext.html
My Dear Prashant Patil, Here are few links which may be helpful in your research. Thanks.
http://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1032&context=abe_eng_conf
http://awra.org/~awra/proceedings/www99/w05/
http://news.mongabay.com/bioenergy/2007/10/india-to-roll-out-real-time-data-on-all.html
Dear, Dr. Mahammad and Dr Sarwan Kumar, thank you for giving detailed information relating to my query. Actually I am thinking for laying plots in all crop types within my study area and within plots harvesting of crops and getting dry weights and relating crop biomass with multispectral bands and VI's and extrapolating biomass for entire study area. Do you think that this can be used in agriculture crops, does this method will be good?. actually the different models available are very generalized. we want to set method for very detailed and accurate.
It depends on your sample size and how much it is representative of climatic, adaphic conditions and management practices in the entire area for which you want to generalise biomass production.
Dear Dr. Alam Ji,
Thank you very much for your detailed discussion yes your 3rd and 4th points are very true as my area of interest is in middal-east region dry land agro-systems, we are going through site specific by taking agro ecological zone wise.
Do you think agro ecological zone may play important role in developing acurate models? please give your suggestions.
Regards
Dear Dr. Alam Ji,
Thank you for your suggestions, that means developing models using agro-ecological zone (AEZ) wise will be worth full, because on crop biomass climate i.e rainfall, PET and temperature has very much effect. and by developing models using AEZ will be important in future to check the changes with time as well.
Regards
You can use vegetation indices and crop models based on data assimilation. In addition, you can use vegetation indicees for estimating biomass based on machine learning algorithms.
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