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Junaid N. Khan

Publications (8)

High-resolution Mapping of Alpine Glaciers of Suru Basin: A 2022 Inventory Based on Sentinel-2 Satellite Data

Ifra Ashraf, Junaid N. Khan, Syed Towseef Ahmad, Immad A. Shah, Rohitashw Kumar, Latief Ahmad, Pervez Ahmed, Imran Khan, Anil Kumar Lohani, F. U. Khan & Shazia Ramzan · International Journal of Environment and Climate Change · 2024

Alpine glaciers serve as critical indicators of climate change and play a vital role in regional and global hydrological cycles. This study focuses on the Suru basin in Ladakh, India, a region with a crucial network of alpine glaciers that serve as freshwater reservoirs. Utilizin...

Open access Research Article 10.9734/ijecc/2024/v14i84336

Study of the Phenology of Saffron (Crocus sativus L.) Grown in Soilless Media under Protected Environment

Maliqa Majid, Junaid N. Khan, Haleema Bano, Arshad H. Mughal, Faheeem Ullah Khan, Rohitashw Kumar, Immad A. Shah, Basharat Bashir, Mehraj U. Din Dar & Latief Ahmad · International Journal of Environment and Climate Change · 2023

Traditionally grown in soil, saffron cultivation has been plagued by limited arable land, variable climate conditions, and soil-borne diseases. Phenological studies of the crop during each of its growth stages are crucial for mitigating the detrimental consequences of climate cha...

Open access Research Article 10.9734/ijecc/2023/v13i92303

Bias Correction of Climate Model Outputs Using IMD Srinagar Data for Climate Change Impact Assessment

Syed Rouhullah Ali, Junaid N. Khan, Rohitashw Kumar, Farooq Ahmad Lone, Shakeel Ahmad Mir & Imran Khan · Journal of Experimental Agriculture International · 2022

Regional climate models (RCMs) give more credible findings for a regional climate change impact assessment, but they still have a bias that must be rectified. Two correction functions using two methods, the modified difference approach and linear scaling method, were utilized for...

Open access Research Article 10.9734/jeai/2022/v44i930854

Modeling the Impacts of Climate Change on Groundwater Resources: A Review

Syed Rouhullah Ali, Junaid N. Khan, Yogesh Pandey, Mehraj U. Din Dar, Mudasir Shafi & Ishfaq Hassan · International Journal of Environment and Climate Change · 2020

Global atmospheric general circulation models (GCMs) were developed to simulate the current climate and are used to predict climate change. Several Global Climate Models (GCM’s) are available for understanding and projecting climate change. GCM requires to be downscale on a basin...

Open access Research Article 10.9734/ijecc/2020/v10i1030250

Prediction of Runoff in Dachigam Catchment and Generation of Time Series Autoregressive Model

Sheikh Umar, Junaid N. Khan, Mohd Ayoub Malik, Saika Manzoor & Jasir Mushtaq · Current Journal of Applied Science and Technology · 2018

The study was conducted with the prime objective to generate a stochastic time series model, capable of predicting runoff in Dachigam catchment area of Dal lake. It covers an area of 141 sq. km. The runoff data of the catchment from the year 1993-2013 was collected and used for t...

Open access Research Article 10.9734/CJAST/2018/38694

Modeling Climate Change Projections for Ferozpur Sub-catchment of Jhelum Sub-basin of Kashmir Valley

Syed Rouhullah Ali, Junaid N. Khan, Mehraj U. Din Dar, Shakeel Ahmad Bhat, Syed Midhat Fazil, Mehlath Shah & Iqra Mehraj · International Journal of Environment and Climate Change · 2018

Aims: The study aimed at modeling the climate change projections for Ferozpur subcatchment of Jhelum sub-basin of Kashmir Valley using the SDSM model. Study Design: The study was carried out in three different time slices viz Baseline (1985-2015), Mid-century (2030-2059) and End-...

Open access Research Article 10.9734/ijecc/2018/v8i127108

Modeling Groundwater Behavior in Ferozpur Subcatchment of Jhelum Sub-basin of Kashmir Valley

Syed Rouhullah Ali & Junaid N. Khan · Current Journal of Applied Science and Technology · 2018

Aims: The study aimed at modeling the groundwater behavior in the Ferozpur subcatchment of Jhelum sub-basin of Kashmir Valley using the GMS (MODFLOW) model. Study Design: The study was carried out in three different simulations for three-time slices viz Baseline (1985-2015), Mid-...

Open access Research Article 10.9734/CJAST/2017/38143

Remote Sensing as a Management and Monitoring Tool for Agriculture: Potential Applications

Atufa Ashraf, Latief Ahmad, Khalid Ferooz, Shazia Ramzan, Ifra Ashraf, Junaid N. Khan, Efath Shehnaz, Mifta Ul-Shafiq, Sabia Akhter, Ambreen Nabi, Rehana Rasool & Shaista Nazir · International Journal of Environment and Climate Change · 2023

Remote sensing technology has revolutionized agriculture management and monitoring by providing valuable information on crop health, soil conditions, weather patterns, and overall land management. The reflectance data are progressively being exploited in agriculture with the mome...

Open access Research Article 10.9734/ijecc/2023/v13i81957