170 related articles for article (PubMed ID: 24682603)
1. Geo-spatial analysis of the temporal trends of kharif crop phenology metrics over India and its relationships with rainfall parameters.
Chakraborty A; Seshasai MV; Dadhwal VK
Environ Monit Assess; 2014 Jul; 186(7):4531-42. PubMed ID: 24682603
[TBL] [Abstract][Full Text] [Related]
2. Spatial and temporal pattern of deficient Indian summer monsoon rainfall (ISMR): impact on Kharif (summer monsoon) food grain production in India.
Kumar PV; Bhavani O; Bhaskar S
Int J Biometeorol; 2023 Mar; 67(3):485-501. PubMed ID: 36652001
[TBL] [Abstract][Full Text] [Related]
3. Spatiotemporal Rainfall Variability and Trend Analysis of Shimsha River Basin, India.
A B; Maddamsetty R; M M; T V R
Environ Sci Pollut Res Int; 2023 Oct; 30(49):107084-107103. PubMed ID: 36764993
[TBL] [Abstract][Full Text] [Related]
4. Understanding spatio-temporal variation of vegetation phenology and rainfall seasonality in the monsoon Southeast Asia.
Suepa T; Qi J; Lawawirojwong S; Messina JP
Environ Res; 2016 May; 147():621-9. PubMed ID: 26922262
[TBL] [Abstract][Full Text] [Related]
5. Comprehensive analysis of spatiotemporal variability of rainfall-based extremes and their implications on agriculture in the Upper Ganga Command Area.
Das DP; Kothari K; Pandey A
Environ Monit Assess; 2024 Jan; 196(2):111. PubMed ID: 38175297
[TBL] [Abstract][Full Text] [Related]
6. Impact of monsoon teleconnections on regional rainfall and vegetation dynamics in Haryana, India.
Chauhan AS; Singh S; Maurya RKS; Danodia A
Environ Monit Assess; 2022 Jun; 194(7):485. PubMed ID: 35672611
[TBL] [Abstract][Full Text] [Related]
7. Monsoon variability, crop water requirement, and crop planning for kharif rice in Sagar Island, India.
Mandal S; Choudhury BU; Satpati LN
Int J Biometeorol; 2015 Dec; 59(12):1891-903. PubMed ID: 25903760
[TBL] [Abstract][Full Text] [Related]
8. An analysis of relationships among plant community phenology and seasonal metrics of Normalized Difference Vegetation Index in the northern part of the monsoon region of China.
Chen X; Xu C; Tan Z
Int J Biometeorol; 2001 Nov; 45(4):170-7. PubMed ID: 11769316
[TBL] [Abstract][Full Text] [Related]
9. Spatio-temporal analysis of rainfall in relation to monsoon teleconnections and agriculture at Regional Scale in Haryana, India.
Chauhan AS; Singh S; Maurya RKS; Danodia A
Environ Sci Pollut Res Int; 2023 Nov; 30(55):116781-116803. PubMed ID: 36459320
[TBL] [Abstract][Full Text] [Related]
10. Effect of rainfall variability on tree phenology in moist tropical deciduous forests.
Verma P; Tiwari P; Singh R; Raghubanshi AS
Environ Monit Assess; 2022 Jun; 194(8):537. PubMed ID: 35764894
[TBL] [Abstract][Full Text] [Related]
11. Fingerprinting of rainfall over semi-arid region, Western India, using MATLAB and GIS.
Choubey S; Kumari R; Chander S
Environ Monit Assess; 2023 Apr; 195(5):610. PubMed ID: 37097495
[TBL] [Abstract][Full Text] [Related]
12. Geospatial approach for assessment of biophysical vulnerability to agricultural drought and its intra-seasonal variations.
Sehgal VK; Dhakar R
Environ Monit Assess; 2016 Mar; 188(3):197. PubMed ID: 26922747
[TBL] [Abstract][Full Text] [Related]
13. Sensitivity of crop cover to climate variability: insights from two Indian agro-ecoregions.
Mondal P; Jain M; DeFries RS; Galford GL; Small C
J Environ Manage; 2015 Jan; 148():21-30. PubMed ID: 24680541
[TBL] [Abstract][Full Text] [Related]
14. Crop and varietal diversification of rainfed rice based cropping systems for higher productivity and profitability in Eastern India.
Lal B; Gautam P; Panda BB; Raja R; Singh T; Tripathi R; Shahid M; Nayak AK
PLoS One; 2017; 12(4):e0175709. PubMed ID: 28437487
[TBL] [Abstract][Full Text] [Related]
15. A study on agricultural drought vulnerability at disaggregated level in a highly irrigated and intensely cropped state of India.
Murthy CS; Yadav M; Mohammed Ahamed J; Laxman B; Prawasi R; Sesha Sai MV; Hooda RS
Environ Monit Assess; 2015 Mar; 187(3):140. PubMed ID: 25716524
[TBL] [Abstract][Full Text] [Related]
16. Assessing the role of SWIR band in detecting agricultural crop stress: a case study of Raichur district, Karnataka, India.
Swathandran S; Aslam MAM
Environ Monit Assess; 2019 Jun; 191(7):442. PubMed ID: 31203445
[TBL] [Abstract][Full Text] [Related]
17. Relationships between rainy days, mean daily intensity, and seasonal rainfall over the Koyna catchment during 1961-2005.
Nandargi S; Mulye SS
ScientificWorldJournal; 2012; 2012():894313. PubMed ID: 22654646
[TBL] [Abstract][Full Text] [Related]
18. Climatic controls of vegetation vigor in four contrasting forest types of India--evaluation from National Oceanic and Atmospheric Administration's Advanced Very High Resolution Radiometer datasets (1990-2000).
Prasad VK; Anuradha E; Badarinath KV
Int J Biometeorol; 2005 Sep; 50(1):6-16. PubMed ID: 15902506
[TBL] [Abstract][Full Text] [Related]
19. Machine learning-based assessment of long-term climate variability of Kerala.
Vijay A; Varija K
Environ Monit Assess; 2022 Jun; 194(7):498. PubMed ID: 35695969
[TBL] [Abstract][Full Text] [Related]
20. Exploring spatial and temporal drought over the semi-arid Sahibi river basin in Rajasthan, India.
Chahal M; Singh O; Bhardwaj P; Ganapuram S
Environ Monit Assess; 2021 Oct; 193(11):743. PubMed ID: 34676445
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
