sakshi saraf - Academia.edu (original) (raw)
Papers by sakshi saraf
Scientific Data, Nov 28, 2023
Livestock rearing is a major source of livelihood for food and income in dryland asia. Increasing... more Livestock rearing is a major source of livelihood for food and income in dryland asia. Increasing livestock density (LSK D) affects ecosystem structure and function, amplifies the effects of climate change, and facilitates disease transmission. Significant knowledge and data gaps regarding their density, spatial distribution, and changes over time exist but have not been explored beyond the county level. this is especially true regarding the unavailability of high-resolution gridded livestock data. Hence, we developed a gridded LSK D database of horses and small ruminants (i.e., sheep & goats) at high-resolution (1 km) for Kazakhstan (KZ) from 2000-2019 using vegetation proxies, climatic, socioeconomic, topographic, and proximity forcing variables through a random forest (RF) regression modeling. We found high-density livestock hotspots in the south-central and southeastern regions, whereas medium-density clusters in the northern and northwestern regions of KZ. Interestingly, population density, proximity to settlements, nighttime lights, and temperature contributed to the efficient downscaling of district-level censuses to gridded estimates. This database will benefit stakeholders, the research community, land managers, and policymakers at regional and national levels.
Environmental Research Letters
Studies examining the joint interactions and impacts of social-environmental system (SES) drivers... more Studies examining the joint interactions and impacts of social-environmental system (SES) drivers on vegetation dynamics in Central Asia are scarce. We investigated seasonal trends and anomalies in drivers and their impacts on ecosystem structure and function (ESF). We explored the response of net primary production, evapotranspiration and normalized difference vegetation index (NDVI) to various SES drivers—climate, human influence, heat stress, water storage, and water content—and their latent relationships in Kazakhstan. We employed 13 predictor drivers from 2000 to 2016 to identify the interactions and impacts on ESF variables that reflect vegetation growth and productivity. We developed 12 models with different predictor–response variable combinations and separated them into two approaches. First, we considered the winter percent snow cover (SNOWc) and spring rainfall (P_MAM) as drivers and then as moderators in a structural equation model (SEM). SNOWc variability (SNOWcSD) as a...
Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 2017
Meeting the food and nutritional demands of ever growing human population will cause immense pres... more Meeting the food and nutritional demands of ever growing human population will cause immense pressure on agricultural lands and natural resource bases across the world. This challenge can be met only by proper land and water management, which consists of crucial components like understanding cropping systems and crop fallow dynamics for sustainable intensification. In this work, a methodology was developed for crop and crop fallow land estimation using multi-temporal, high spatial resolution Sentinel-2A data in a test site of Odisha state, in India, comprising of two districts i.e., Bhadrak and Jajpur. Customized codes were written to find temporal variation pattern of NDVI values for each pixel in the study area. Observing the variation of NDVI over time, we have attempted to estimate crop life cycle duration and their type with rigorous field inputs. The cropland and fallow land intensification maps showed 10-different cropping pattern with classification accuracy of 83.33%, and kappa coefficient of 0.81. We observed that (1) kharif is the major crop in the study area, while rabi mainly grows in areas where external fresh water sources are available (2) a large portion of the area remains fallow for most part of the year as mapped from Sentinel 2A data. There is scope to utilise the fallow lands for multi-cropping with appropriate land and water management, through the government policy prescriptions. With Sentinel-2B sensor now on board, the temporal resolution of satellite-2 (2A and 2B combined) could improve leading to improved classification and upgradation of the algorithm followed here.
In this study an artificial neural network based evaporation estimation model was developed and e... more In this study an artificial neural network based evaporation estimation model was developed and evaluated the performance of the developed model forUdaipur, Rajasthan, India. Multiple linear regressions were used to estimate the pan evaporation for the study area and to model the linear correlations between a single dependent variable Y and two or more independent variables. Performance of the models was evaluated by using qualitative and quantitative indices, viz. correlation coefficient (CC) and root mean square error (RMSE).The values of root mean square error were 0.836 and 0.882 andthe values of correlation coefficient were 0.970 and 0.960 for network 4-6-6-1 for training and testing period respectively. The values of root mean square error were 1.028 and 1.106 and the values of correlation coefficient were 0.941 and 0.930 for MLR model for training and testing period respectively. In this study, it was found that the evaporation estimation done through ANN was better than comp...
Advances in Applied Science Research, 2015
Survival of living organism and socioeconomic development depend largely on the availability of w... more Survival of living organism and socioeconomic development depend largely on the availability of water. Ground water is a main source of water for irrigation, industries, recreation, domestic and drinking purpose. With the increasing population and industries, the requirement of water is increasing day by day and as industries are growing the pollutants from these are also increasing and so the quality is decreasing day by day at an alarming rate. The present study had been conducted in the Sitarganj area of Udham Singh Nagar, Uttarakhand, Indiato study the physico-chemical characteristics of water from the shallow aquifer and the extent of pollution and to judge the suitability of water for irrigation, industrial and domestic use. In this study, it was found that the shallow aquifer ground water was not safe for the drinking purpose with respect to all the parameters taken together. But it was found that water samples from most of the locations were suitable for irrigation purpose
Scientific Data, Nov 28, 2023
Livestock rearing is a major source of livelihood for food and income in dryland asia. Increasing... more Livestock rearing is a major source of livelihood for food and income in dryland asia. Increasing livestock density (LSK D) affects ecosystem structure and function, amplifies the effects of climate change, and facilitates disease transmission. Significant knowledge and data gaps regarding their density, spatial distribution, and changes over time exist but have not been explored beyond the county level. this is especially true regarding the unavailability of high-resolution gridded livestock data. Hence, we developed a gridded LSK D database of horses and small ruminants (i.e., sheep & goats) at high-resolution (1 km) for Kazakhstan (KZ) from 2000-2019 using vegetation proxies, climatic, socioeconomic, topographic, and proximity forcing variables through a random forest (RF) regression modeling. We found high-density livestock hotspots in the south-central and southeastern regions, whereas medium-density clusters in the northern and northwestern regions of KZ. Interestingly, population density, proximity to settlements, nighttime lights, and temperature contributed to the efficient downscaling of district-level censuses to gridded estimates. This database will benefit stakeholders, the research community, land managers, and policymakers at regional and national levels.
Environmental Research Letters
Studies examining the joint interactions and impacts of social-environmental system (SES) drivers... more Studies examining the joint interactions and impacts of social-environmental system (SES) drivers on vegetation dynamics in Central Asia are scarce. We investigated seasonal trends and anomalies in drivers and their impacts on ecosystem structure and function (ESF). We explored the response of net primary production, evapotranspiration and normalized difference vegetation index (NDVI) to various SES drivers—climate, human influence, heat stress, water storage, and water content—and their latent relationships in Kazakhstan. We employed 13 predictor drivers from 2000 to 2016 to identify the interactions and impacts on ESF variables that reflect vegetation growth and productivity. We developed 12 models with different predictor–response variable combinations and separated them into two approaches. First, we considered the winter percent snow cover (SNOWc) and spring rainfall (P_MAM) as drivers and then as moderators in a structural equation model (SEM). SNOWc variability (SNOWcSD) as a...
Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 2017
Meeting the food and nutritional demands of ever growing human population will cause immense pres... more Meeting the food and nutritional demands of ever growing human population will cause immense pressure on agricultural lands and natural resource bases across the world. This challenge can be met only by proper land and water management, which consists of crucial components like understanding cropping systems and crop fallow dynamics for sustainable intensification. In this work, a methodology was developed for crop and crop fallow land estimation using multi-temporal, high spatial resolution Sentinel-2A data in a test site of Odisha state, in India, comprising of two districts i.e., Bhadrak and Jajpur. Customized codes were written to find temporal variation pattern of NDVI values for each pixel in the study area. Observing the variation of NDVI over time, we have attempted to estimate crop life cycle duration and their type with rigorous field inputs. The cropland and fallow land intensification maps showed 10-different cropping pattern with classification accuracy of 83.33%, and kappa coefficient of 0.81. We observed that (1) kharif is the major crop in the study area, while rabi mainly grows in areas where external fresh water sources are available (2) a large portion of the area remains fallow for most part of the year as mapped from Sentinel 2A data. There is scope to utilise the fallow lands for multi-cropping with appropriate land and water management, through the government policy prescriptions. With Sentinel-2B sensor now on board, the temporal resolution of satellite-2 (2A and 2B combined) could improve leading to improved classification and upgradation of the algorithm followed here.
In this study an artificial neural network based evaporation estimation model was developed and e... more In this study an artificial neural network based evaporation estimation model was developed and evaluated the performance of the developed model forUdaipur, Rajasthan, India. Multiple linear regressions were used to estimate the pan evaporation for the study area and to model the linear correlations between a single dependent variable Y and two or more independent variables. Performance of the models was evaluated by using qualitative and quantitative indices, viz. correlation coefficient (CC) and root mean square error (RMSE).The values of root mean square error were 0.836 and 0.882 andthe values of correlation coefficient were 0.970 and 0.960 for network 4-6-6-1 for training and testing period respectively. The values of root mean square error were 1.028 and 1.106 and the values of correlation coefficient were 0.941 and 0.930 for MLR model for training and testing period respectively. In this study, it was found that the evaporation estimation done through ANN was better than comp...
Advances in Applied Science Research, 2015
Survival of living organism and socioeconomic development depend largely on the availability of w... more Survival of living organism and socioeconomic development depend largely on the availability of water. Ground water is a main source of water for irrigation, industries, recreation, domestic and drinking purpose. With the increasing population and industries, the requirement of water is increasing day by day and as industries are growing the pollutants from these are also increasing and so the quality is decreasing day by day at an alarming rate. The present study had been conducted in the Sitarganj area of Udham Singh Nagar, Uttarakhand, Indiato study the physico-chemical characteristics of water from the shallow aquifer and the extent of pollution and to judge the suitability of water for irrigation, industrial and domestic use. In this study, it was found that the shallow aquifer ground water was not safe for the drinking purpose with respect to all the parameters taken together. But it was found that water samples from most of the locations were suitable for irrigation purpose