assessment drought states assessment...

Mahalanobis National Crop Forecast Centre

Department of Agriculture & Cooperation, New Delhi -110 012

National Remote Sensing Centre, ISRO

Department of Space, Hyderabad – 500 625

AGRICULTURAL

DROUGHT

ASSESSMENT REPORT

June 2012 Assessment

for 13 States

MNCFC |Agricultural Drought Assessment Report, June 2012 1

Executive Summary

Agricultural Drought Assessment is essential for taking appropriate remedial measures for improvement of drought situation. Satellite based remote sensing data has been shown to be highly useful for crop condition assessment and drought monitoring. A very successful project called National Agricultural Drought Assessment and Monitoring System (NADAMS) had been developed by National Remote Sensing Centre (NRSC), ISRO, which envisages use of remote sensing and meteorological data for drought assessment of 13 agricultural important states of India. After the technology was transferred to Mahalanobis National Crop Forecast Centre (MNCFC), Department of Agriculture & Cooperation, this is the first report of national level agricultural drought assessment brought by MNCFC, in collaboration with NRSC. This report assesses agricultural situation of the country for the month of June, 2012.

Composite images of coarse resolution NOAA AVHRR data was used for 9 states

namely, Bihar, Chhattisgarh, Gujarat, Madhya Pradesh, Jharkhand, Orissa, Rajasthan, Uttar Pradesh and Tamil Nadu, while moderate resolution data from AWiFS/MODIS was used for 4 states namely, Andhra Pradesh, Karnataka, Haryana and Maharashtra. Crop condition has been assessed using satellite derived Normalized Difference Vegetation Index (NDVI)/(Normalized Difference Water Index) NDWI images. Shortwave Angle Slope Index (SASI) derived from MODIS data has been used to generate Area Favourable for Crop Sowing (AFCS). These satellite derived products have been integrated with Soil Moisture Index (derived using soil water balance approach) and IMD Rainfall data (rainfall deviation, number of dry weeks) for assessment of drought situation in each district of these 13 states.

During June 2012, with delayed monsoon and its slow progression, rainfall received

during June month was deficit in majority of the meteorological sub-divisions affecting the Kharif crop sowing activity. Anomalies of SASI indicated a large proportion of the agricultural area (>50%) in dry condition in the current season compared to normal monsoon year of 2011 in the states of Bihar, Jharkhand, Orissa, Uttar Pradesh, Tamil Nadu, Karnataka and Haryana. NDVI and its deviations do not indicate the commencement of agricultural activity and seasonal greenness in majority states particularly in Madhya Pradesh, Uttar Pradesh, Rajasthan, Gujarat, Bihar and Jharkhand states. Very low NDWI values in most of the states are the result of reduced rainfall and its poor distribution. More than 50% of agricultural area in majority states shows very large negative deviations from normal NDWI, reflecting the intensity of surface dryness over agricultural areas.

This current report presents the state level maps of above indices and the agricultural condition. It also presents, in tabular form, the district level drought situation (Normal, Watch and Alert).


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'National Agricultural Drought Assessment and Monitoring System (NADAMS)' project, conceptualized and developed by National Remote Sensing Centre (NRSC), ISRO, Department of Space, provides near real-time information on prevalence, severity level and persistence of agricultural drought at state/ district/sub-district level. Currently, it covers 13 states of India, which are predominantly agriculture based and prone to drought situation. Agricultural conditions are monitored at state/district level using daily NOAA AVHRR data for 9 states. AWiFS (Advanced Wide Field Sensor) of Resourcesat (56 m resolution) is used for detailed assessment of agricultural drought at district and sub district level in four states. MODIS 250m, 500m derived NDWI, SASI datasets have also been interpreted to complement the assessment. Fortnightly/monthly report of drought condition is provided to the Government under NADAMS. From the year 2012, the NADAMS project is being implemented by the Mahalanobis National Crop Forecast Centre (MNCFC), Ministry of Agriculture, after the technology was transferred to MNCFC by NRSC.

Agricultural drought assessment with multiple indices as indicated below;

Shortwave Angle Slope Index (SASI)

Normalized Difference Wetness Index

Normalized Difference Vegetation Index

Soil Moisture Index (derived from soil water balance approach)

IMD Rainfall data – rainfall deviation, number of dry weeks

The present report is a summary of agricultural situation during June 2012 for13 states and contains satellite derived vegetation index images, rainfall deviations and assessment of agricultural situation.

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Among the various vegetation indices that are now available, Normalized Difference Vegetation Index (NDVI) is most widely used for operational drought assessment because of its simplicity in calculation, easiness in interpretation and also its ability to partially compensate for the effects of atmosphere, illumination geometry etc. Normalised Difference Vegetation Index (NDVI) is derived from (NIR - Red/NIR + Red) where NIR and Red are the reflected radiation in visible and near infrared channels. Various colours in the NDVI image - Yellow through Green to Red - indicate increasing vegetation vigour. The legend of colour bars


and the vegetation index values are provided along with the vegetation index image. Water, clouds and snow have higher reflectance in the visible region and consequently NDVI assumes negative values for these features. Bare soil and rocks exhibit similar reflectance in both visible and near IR regions and the index values are near zero. The NDVI values for vegetation generally range from 0.1 to 0.6, the higher index values being associated with greater green leaf area and biomass

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The agricultural crop condition is monitored based on the NDVI information derived from satellite data. The vegetation index images of the country after overlaying the forest area mask and agricultural vegetation condition map for June 2011 and 2010 are shown in Plates.

After precluding the forest area, district wise average vegetation index statistics are generated. The district wise vegetation status during the current season is assessed based on the seasonal NDVI progression.

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Shortwave Infrared (SWIR) band is sensitive to moisture available in soil as well as in crop canopy. In the beginning of the cropping season, soil back ground is dominant hence SWIR is sensitive to soil moisture in the top 1-2 cm. As the crop progresses, SWIR becomes sensitive to leaf moisture content. SWIR band provides only surface wetness information. When the crop is grown-up, SWIR response is only from canopy and not from the underlying soil. NDWI using SWIR can complement NDVI for drought assessment particularly in the beginning of the cropping season. NDWI is derived as under;

NDWI = (NIR-SWIR) / (NIR+SWIR)

where Near Infra Red and SWIR are the reflected energy in these two spectral bands. Higher values of NDWI signify more surface wetness.

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SASI images were generated using 8-day composites of MODIS 500 m images of NIR, SWIR 1 and SWIR 2 bands. SASI is highly sensitive to rainfall and hence indirectly associated with crop sown area. SASI variations in the season which represent dynamics of surface moisture were used for assessing the Area Favourable for Crop Sowing (AFCS) from time to time. General threshold values of SASI specific to soil texture that indicate favorable situation for crop sowings were identified. Based on SASI thresholds, discrimination of the Area Favourable Crop Sowing (AFCS) was done on weekly basis for each state. The AFCS weekly values are useful to assess the intensity of early season/sowing period agricultural drought


intensity in terms of timeliness in the commencement of sowings, extent of delay or reduction in crop sowings.

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The soil water balance (SWB) model is a convenient way of estimating the soil moisture over a large area with considerable reliability. A simple book keeping – bucket type – water tight model was developed to derive the top 30cm profile soil moisture. This model considers the initial root depth of 30 cm throughout the season to capture the soil water scenario for crops sown and germinating during any part of the cropping season. The soil water balance in the upper layer is governed by daily values of rainfall, runoff, evapo-transpiration (ET) and drainage to the second layer. When the upper layer saturates in excess of Field Capacity (FC) due to rainfall, the excess water percolates to the lower passive root zone and are instantaneously redistributed in that zone. The excess soil water in the passive zone moves out as deep percolation. Since the upper 30 cm is considered for the soil water assessment the lower limit of soil water is the residual water content of the soil as the upper layer is exposed to the atmosphere and subjected to upward flux due to the direct solar radiation. The climatic, soil and crop parameter are the main inputs for the SWB. The daily near real time TRMM 3B42RT spatial rainfall product and the daily global potential evapo-transpiration data are used as the rainfall and climatic input, respectively. The soil information was derived from the 1: 0.5 million scale NBSS&LUP soil map. Since this model does not take into account the irrigation applied from various sources, the results of the model should be considered over rainfed areas alone. The Soil Moisture Index (SMI) derived is defined as the proportion of the difference between the current soil moisture and the permanent wilting point to the field capacity and the permanent wilting point. The index values range from 0 to 100 with 0 indicating extreme dry condition and 100 extreme wet conditions.

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As per IMD, all India average rainfall upto 27th June 2012, was 108 mm against a normal of 140 mm. There are 24 meteorological subdivisions that have received either scanty or deficit rainfall. Only 12 met. Sub-divisions have received either normal or more than normal rainfall. In 2011, during the corresponding period, only 10 met. Sub-divisions have received either deficit or scanty rainfall and the remaining sub-divisions received normal or excess rainfall. Rainfall deviations from normal at district level, for different weeks of June were depicted in Plates.


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With delayed monsoon and its slow progression, rainfall received during June month was deficit in majority of the meteorological sub-divisions affecting the kharif crop sowing activity.

Anomalies of SASI indicated a large proportion of the agricultural area (>50%) in dry

condition in the current season compared to normal monsoon year of 2011 in the states of Bihar, Jharkhand, Orissa, Uttar Pradesh, Tamil Nadu, Karnataka and Haryana. Delay in the onset of monsoon and scanty rains in the current season have reduced the surface wetness, affecting the commencement of kharif agricultural operations.

Soil Moisture Index (SMI) derived from spatial soil water balance model, was very low

upto 30th June, in most parts of the country due to monsoon delay and deficit rainfall. Comparison of SMI between 2012 and 2011 indicated lower SMI values in 2012 in many parts of the country.

The Area Favourable for Crop Sowing (AFCS) has been derived from (1) SASI data

integrated with ground data on cropping pattern, soils and irrigation support and (2) Spatial Soil Water Balance model. AFCS reflects the agricultural area with significant surface wetness and hence favourable for crop sowing activity. AFCS reveals very less favourable area for crop sowing in kharif 2012. Out of 108 M ha of kharif area, only 34 M ha has been found to be under favourable area. In 2011, up to the corresponding period was 49 M ha. The AFCS values are very less in majority states – Madhya Pradesh, Uttar Pradesh, Rajasthan, Gujarat, Bihar and Jharkhand indicating the unfavorable seasonal conditions in June 2012.

Very low NDWI values in most of the states are the result of reduced rainfall and its

poor distribution. More than 50% of agricultural area in majority states shows very large negative deviations from normal NDWI, reflecting the intensity of surface dryness over agricultural areas.

NDVI and its deviations do not indicate the commencement of agricultural activity and

seasonal greenness in majority states particularly in Madhya Pradesh, Uttar Pradesh, Rajasthan, Gujarat, Bihar and Jharkhand states

Multiple indices involving SMI derived from soil water balance, satellite derived SASI,

NDWI and NDVI and their comparisons between 2012 and 2011, IMD rainfall and its derivatives indicate that crop sowing activity has not commenced in many parts of the country upto 30th June. Wide spread meteorological drought over most of the states, involving large proportion of agricultural area, could be observed as a result of slow progression of monsoon and deficit rainfall.


Summary of June 2012 Agricultural Drought Assessment is shown below:

State Agricultural drought situation upto June 2012

Andhra Pradesh

Normal (14 districts): Adilabad, East Godavari, Guntur, Karimnagar, Khammam, Krishna, Mahbubnagar, Medak, Nellore, Nizamabad, Prakasam, Rangareddy, Warangal and West Godavari Watch (5 districts): Chittoor, Nalgonda, Srikakulam, Vizianagaram and Visakhapatnam Alert (3 districts): Anantpur, Kurnool and Kadapa

Bihar Normal (2 districts): Munger and Gaya Watch (23 districts): Paschim and Purbi Champaran, Sheohar, Sitamarhi, Madhubani, Sapaul, Araria, Kishanganj, Purnia, Madhepura, Saharsa, Muzaffarpur, Gopalganj, Siwan, Saran, Katihar, Nalanda, Patna, Bhojpur, Buxar, Bhabhua, Rhotas and Aurangabad Alert (12 districts): Darbhanga, Vaishali, Samastipur, Begusarai, Khagaria, Bagalpur, Banka, Luckeesarai, Sheikhpura, Jahanabad, Nawada and Jamui

Chhattisgarh Normal (10 districts): Jashpur, Raigarh, Korba, Bilaspur, Jangir, Raipur, Durg, Kawardha, Dhamtari and Dantewada Watch (4 districts): Surguja, Rajnandgaon, Kanker and Baster Alert (1 district): Koriya

Gujarat

Normal (3 districts): Surat, The Dangs and Navsari Watch (21 districts): Banas Kantha, Patan, Mehasana, Sabar Kantha, Dahod, Pachmahal, Kheda, Gandhi Nagar, Ahmedabad, Surendranagar, Rajkot, Jamnagar, Porbander, Junagadh, Amreli, Bhavnagar, Anand, Vadodara, Narmada, Bharuch and Valsad Alert (1 district) : Kuchchh

Haryana Normal (13 districts): Ambala, Faridabad, Fatehabad, Gurgaon, Kaithal, Karnal, Kurukshetra, Panchkula, Panipat, Rohtak, Sirsa, Sonipat, Yamunanagar Watch (7 districts): Hissar, Bhiwani, Mahendragarh, Rewari, Mewat, Jhajjar, Jind

Jharkhand Normal (3 districts): Koderma, Simdega and Gumla Watch (11 districts): Godda, Sahibganj, Pakaur, Dumka, Hazaribagh, Lohardaga, Latehar, Ranchi, West and East Singhbhum and Saraikela Kharsawan Alert (8 districts): Garhwa, Palamau, Chatra, Giridih, Deoghar, Jamtara, Dhanbad, Bokaro

Karnataka Normal (17 districts): Bengaluru Rural, Bengaluru Urban, Bidar, Chamrajnagar, Chikmagalur, Dakshina Kannada, Davangere, Hassan, Kodagu, Kolar, Mandya, Mysore, Raichur, Shimoga, Tumkur, Udupi and Uttar Kannada Watch (11 districts): Bellary, Chitradurga, Koppal, Bijapur, Gulberga, Yadgir, Belgaum, Bagalkot, Gadag, Haveri and Dharwad


Maharashtra Normal (19 districts): Akola, Amravati, Bhandara, Chandrapur, Garhchiroli, Gondiya, Kolhapur, Latur, Nanded, Nandurbar, Nashik, Parbhani, Ratnagiri, Raygad, Sindhudurg, Thane, Wardha, Washim And Yavatmal Watch (8 districts): Buldana, Dhule, Hingoli, Jalgaon, Jalna, Nagpur, Satara and Solapur Alert (6 districts): Ahmadnagar, Aurangabad, Beed, Pune, Osmanabad and Sangli

Madhya Pradesh

Normal (11 districts): Narsimhapur, Jabalpur, Dinddori, Mandala, Balaghat, Seoni, Chhindwara, Betul, Hosangabad, Harda and Badwani Watch (12 districts): West and East Nimar, Raisen, Sehore, Dewas, Indore, Dhar, Jhabua, Bhopal, Umaria, Shivpuri and Shahdol Alert (22 districts): Morena, Bhind, Datia, Gwalior, Seopur, Guna, Tikamgarh, Chhattarpur, Panna, Satna, Rewa, Sidhi, Katni, Damoh, Sagar, Vidhisha, Rajgarh, Shajapur, Ujjain, Ratlam, Mandsaur and Neemach

Orissa Normal (8 districts): Jharsuguda, Sambalpur, Bargarh, Soneput, Bolangir, Nawapara, Kalahandi and Rayagada Watch (9 districts): Sundargarh, Angul, Phulbani, Boudh, Ganjam, Nayagarh, Kurdha, Puri and Malkangir Alert (13 districts): Mayurbhanj, Keonjhar, Deogarh, Dhenkanal, Jajpur, Balasore, Bhadrak, Kendrapada, Jagatsinghpur, Cuttack, Gajapati, Koraput and Nowrangapur

Rajasthan

Watch (27 districts): Bikaner, Churu, Jhunjhunun, Bharathpur, Jajpur, Sikar, Nagaur, Jodhpur, Jaiselmer, Barmer, Pali, Ajmer, Tonk, Sawai Madhapur, Dausa, Karauli, Bundi, Bhilwara, Rajsamand, Jalor, Sirohi, Udaipur, Chittaurgarh, Kota, Jhalawar, Banswara and Dungarpur Alert (5 districts): Ganganagar, Hanumangrh, Alwar, Dholpur and Baran

Tamil Nadu Normal (3 districts): Nilgiris, Coimbatore and Teni Watch (12 districts): Tiruvallur, Vilupuram, Salem, Erode, Namakkal, Karur, Dindigul, Ariyalur, Pudukottai, Madurai, Virudunagar and Kanyakumari Alert (14 districts): Kanchipuram, Vellore, Dharmapuri, Tiruvanamallai, Cuddalore, Perambalore, Trichirapalli, Nagapattinam, Tiruvarur, Thanjavur, Sivaganga, Ramanathapuram, Tuticorin and Tirunelveli

Uttar Pradesh Watch (60 districts): Unnao, Lucknow, Rae Bareli, Sultanpur, Faizabad, Ambedkar Nagar, Azamgarh, Mau, Ballia, Gazipur, Chandauli, Varanasi, Jaunpur, Pratapgarh, Fatehpur, Kanpur Urban and Rural, Auraiya, Etawah, Kaushambi, Allahabad, Sant Ravidas Nagar, Mizapur, Sonbhandra, Saharanpur, Muzaffarnagar, Bijnor, Meerut, Baghpat, Ghaziabad, Juotiha Phule Nagar, Moradabad, Rampur, Bareilly, Pilibhit, Lakhimpur, Bahraich, Shravasti, Balrampur, Sidharthanagar, Maharajganj, Kushinagar, Deoria, Gorakhpur, Sant Kabir Nagar, Basti, Gonda, Barabanki, Sitapur, Hardoi, Shahjahanpur, Budaun, Bulandshahr, Aligarh, Mathura, Hathras, Etah, Farrukhabad and Kanauj Alert (9 districts): Mainpuri, Firozabad, Agra, Jalaun, Jhansi, Lalitpur, Mahoba, Banda and Chitrakut


LLiisstt ooff CCoolloouurr PPllaatteess

Plate No. Title

Plate 1 Agricultural Drought assessment, June 2012

Plate 2 Area Favorable for Crop Sowing (AFCS) derived from SASI and water balance methodology

Plate 3 SASI Anomaly upto 02 July 2012 showing wetness/dryness patterns over agricultural area

Plate 4a SASI Anomaly upto 25 June 2012 showing wetness/dryness patterns over agricultural area

Plate 4b Soil moisture status derived from water balance methodology

Plate 5 Fortnightly Agricultural area NDVI of NOAA AVHRR (1 km * 1km)

Plate 6 Monthly Agricultural area NDVI of NOAA AVHRR (1 km * 1km)

Plate 7 MODIS (250 m2 ) NDWI during June 2012 showing surface moisture status

Plate 8 NDWI and NDVI Deviation Map for June 2012

Plate 9 Percent Deviation of NDWI and NDVI - June 2012

Plate 10 IMD – Monsoon progression and Rainfall

Plate 11 District wise rainfall deviations June 2012

Plate 12 Distribution of Dry weeks (based on rainfall) in different districts in the first fortnight of June 2012

Plate 13 District wise rainfall deviations June 2011

Plate 14 District wise rainfall deviations (%) from normal for selected states, June 2010

Plate 15 Agricultural Drought Assessment of Andhra Pradesh

Plate 16 Agricultural Drought Assessment of Bihar

Plate 17 Agricultural Drought Assessment of Chhattisgarh

Plate 18 Agricultural Drought Assessment of Gujarat

Plate 19 Agricultural Drought Assessment of Haryana

Plate 20 Agricultural Drought Assessment of Jharkhand

Plate 21 Agricultural Drought Assessment of Karnataka

Plate 22 Agricultural Drought Assessment of Madhya Pradesh

Plate 23 Agricultural Drought Assessment of Maharashtra

Plate 24 Agricultural Drought Assessment of Orissa

Plate 25 Agricultural Drought Assessment of Rajasthan

Plate 26 Agricultural Drought Assessment of Tamil Nadu

Plate 27 Agricultural Drought Assessment of Uttar Pradesh

Plate 1: Agricultural Drought assessment, June 2012

(103 districts)

(210 districts)

(94 districts)

State Agricultural drought situation upto June 2012

Normal Watch Alert

Andhra Pradesh 14 5 3

Bihar 2 23 12

Chattisgarh 10 4 1

Gujarat 3 21 1

Haryana 13 7 Nil

Jharkhand 3 11 8

Karnataka 17 11 Nil

Maharashtra 19 8 6

Madhya Pradesh 11 12 22

Orissa 8 9 13

Rajasthan Nil 27 5

Tamil Nadu 3 12 14

Uttar Pradesh Nil 60 9

Crop Sown Area / Area Favourable for Crop Sowing (AFCS) upto 02nd July, 2012

Areas in Lakh ha.

Kharif Area AFCS % Kharif Area Unfavourable

Andhra Pradesh 78 20 26 58

Bihar 37 7 20 30

Chhattisgarh 48 32 66 16

Gujrat 87 13 15 74

Haryana 28 6 20 22

Jharkhand 25 3 14 22

Karnataka 75 35 46 40

Madhya Pradesh 104 7 6 97

Maharashtra 140 55 39 85

Orissa 63 39 61 24

Rajasthan 143 2 2 141

Tamilnadu 24 11 47 13

Uttar Pradesh 93 28 30 65

Sub-Total 945 258 27 687

All India 1086 342 32 744

Plate 2: Area Favorable for Crop Sowing (AFCS) derived from SASI and water balance methodology

0

20

40

60

80

100

AP

Assa

m

Bih

Ch

t

Gu

j

Har

Jhr

Ka

r

Ke

r

MP

Ma

h

Orr

Pu

n

Raj

TN

UP

WB

To

tal

%

Ag

ricu

ltu

ral

are

a

SASI deviation from previous year upto 02 July 2012

More wet Wet No significant change Dry More dry

Plate 3: SASI Anomaly upto 02 July 2012 showing wetness/dryness patterns over agricultural area

• Anomaly = (2012 SASI – 2011 SASI)

• Negative anomaly value indicates

more surface wetness in 2012

compared to 2011.

• Positive anomaly value indicates more

surface dryness in 2012 compared to

2011

0

20

40

60

80

100

AP

Assa

m

Bih

Ch

t

Gu

j

Har

Jhr

Ka

r

Ke

r

MP

Ma

h

Orr

Pu

n

Raj

TN

UP

WB

To

tal

%

Ag

ricu

ltu

ral

are

a

% agril. area under different SASI anomaly classes

More wet Wet No significant change Dry More dry

SASI

upto 25th June 2012

SASI

upto 25th June 2011

SASI deviation 2012

(from 2011)

Plate 4a : SASI Anomaly upto 25 June 2012 showing wetness/dryness patterns over agricultural area

• Anomaly = (2012 SASI –

2011 SASI)

• Negative anomaly value

indicates more surface wetness

in 2012 compared to 2011.

• Positive anomaly value

indicates more surface dryness

in 2012 compared to 2011

More wet

than 2011

More dry

than 2011

A large proportion of agricultural area (>50%) is

under dry conditions in AP, Bihar, Chattisgarh,

Haryana, Jharkhand, Punjab, Orissa, Tamil Nadu,

Uttar Pradesh and West Bengal. In other states,

there is significant difference in dryness/wetness

between the two years.

Even in highly irrigated states – Punjab and

Haryana, surface dryness is widespread in 2012.

Increased surface dryness in the current season is

caused by reduced monsoon rainfall

Plate 4b: Soil moisture status derived from water balance methodology

Soil moisture

1 Km grid, 30 June 2012 Soil Moisture Index

1 Km grid, 30 June 2012

Plate 5: Agricultural area NDVI of NOAA AVHRR (1 km * 1km)

June 2011 June 2010

Plate 6: Agricultural area NDVI of NOAA AVHRR (1 km * 1km)

June 2012

1ST fortnight

June,12

2ND fortnight

June,12

1ST fortnight

June,10

2ND fortnight

June,10 June,10

June,12

Plate 7: MODIS (250 m2 ) NDWI during June 2012 showing surface moisture status

Plate 8: NDWI and NDVI Deviation Map for June 2012

0

20

40

60

80

100

AP

Ass

am Bih

Ch

t

Gu

j

Har Jh

r

Kar

Ker

MP

Mah Orr

Pu

n

Raj TN UP

WB

% A

gric

ult

ura

l are

a

NDVI deviation upto 24 June 2012

No dev -10% dev. -20% dev <-20% dev

Plate 9: Percent Deviation of NDWI and NDVI - June 2012

0

20

40

60

80

100

AP

Bih

Ch

t

Gu

j

Har Jh

r

Kar

MP

Mah Orr

Pu

n

Raj TN UP

% A

gric

ult

ura

l are

a

NDWI deviation upto 24 June 2012

No dev -10% dev. -20% dev <-20% dev

Plate 10: IMD – Monsoon progression and Rainfall

Plate 11: District wise rainfall deviations June 2012 (Source of data: www.imd.gov.in)

Week ending

06 June Week ending

13 June Week ending

20 June

Week ending

27 June

June 2012

Plate 12: Distribution of Dry weeks (based on rainfall) in different districts in the first fortnight of June 2012

Based on rainfall

during week

ending 20 June

2012

Based on rainfall

during week

ending 27 June

2012

No. of dry weeks in

the second fortnight

June 2012

No. of dry weeks in

June 2012

Source of rainfall data: www.imd.gov.in

Plate 13 District wise rainfall deviations June 2011 (Source of data: www.imd.gov.in)

Week ending

08 June Week ending

15 June

Week ending

22 June

Week ending

29 June

Plate 14: District wise rainfall deviations (%) from normal for selected states, June 2010

Week ending

09 June

Week ending

16 June

Week ending

23 June

Week ending

30 June

Cumulative

for June

Source of data: www.imd.gov.in

MODIS based Normalized Difference Vegetation index

June 2012 June 2010

MODIS based Normalized Difference Water index

Plate 15: Agricultural Drought Assessment of Andhra Pradesh

June 2012 June 2010 June 2012

Seasonal Rainfall for the week ending 04/07/12

Agricultural Vegetation Condition – June 2012

AVHRR based Normalized Difference Vegetation index

June 2012 June 2011


Plate 16: Agricultural Drought Assessment of Bihar





June 2012 June 2011


Plate 17: Agricultural Drought Assessment of Chhattisgarh

June 2012 June 2011

June 2012




June 2012 June 2011


Plate 18: Agricultural Drought Assessment of Gujarat

June 2012 June 2011

June 2012




June 2012 June 2010


Plate 19: Agricultural Drought Assessment of Haryana





June 2012 June 2011


Plate 20: Agricultural Drought Assessment of Jharkhand





June 2012 June 2010


Plate 21: Agricultural Drought Assessment of Karnataka





June 2012 June 2011


Plate 22: Agricultural Drought Assessment of Madhya Pradesh





June 2012 June 2010


Plate 23: Agricultural Drought Assessment of Maharashtra





June 2012 June 2011


Plate 24: Agricultural Drought Assessment of Orissa





June 2012 June 2011


Plate 25: Agricultural Drought Assessment of Rajasthan





June 2012 June 2011


Plate 26: Agricultural Drought Assessment of Tamil Nadu





June 2012 June 2011


Plate 27: Agricultural Drought Assessment of Uttar Pradesh




MNCFC |Agricultural Drought Assessment Report, June 2012

CONTACT:

The Director,

Mahalanobis National Crop Forecast Centre (MNCFC)

Near Krishi Vistar Sadan

Pusa Campus, New Delhi-110012, India

Phone: +91-11-25843224/6/9

Fax.: +91-11-25843225

Email: [email protected]

mailto:[email protected]

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