Long-term remote sensing normalized difference vegetation index (NDVI) datasets have been widely used in monitoring changes. In this study, the NASA Global Inventory Modeling and Mapping Studies (GIMMS) NDVI3g dataset was as data source, dimidiate pixel model, intensity analysis, residual analysis were to analyze changes of coverage Inner Mongolia—from 1982 2010—and their relationships with climate human activities. This study also explored Mongolia respect natural factors The results showed...

As a measure of the accumulated heat deficit during growing season transition, cooling degree days (CDDs) play crucial role in regulating vegetation phenology and ecosystem dynamics. However, systematic analyses CDD trends their driving mechanisms remain limited, particularly high-altitude regions where climate variability is pronounced. This study investigated spatiotemporal CDDs from 1982 to 2022 alpine grasslands on Qinghai–Tibetan Plateau (TP) quantified contributions key climatic...

As the global climate has changed, studies on relationship between vegetation and have become crucial. We analyzed long-term dynamics diverse responses to extreme changes in Inner Mongolia, based Global Inventory Monitoring Modelling Studies (GIMMS) NDVI3g datasets, as well eight precipitation indices six temperature that are highly correlated with occurrence of droughts or floods, heat cold disasters, growth Mongolia. These datasets were using linear regression analysis, Hurst exponent...

Abstract The characteristics of vegetation and drought for different seasons between 1982 2015 in Inner Mongolia were studied based on the normalized difference index (NDVI) standardized precipitation evapotranspiration (SPEI). response to over various timescales types was investigated using maximum Pearson correlation, allowing a discussion about possible causes any changes. results indicate that NDVI showed an increasing trend seasons, with spring (April–May) having largest significant...

This research is based on the standardized precipitation evapotranspiration index (SPEI) and normalized difference vegetation (NDVI) which represent drought condition land. Take linear regression method Pearson correlation analysis to study spatial temporal evolution of SPEI NDVI effect vegetation. The results show that (1) during 1961–2015, values at different time scales showed a downward trend; SPEI‐12 has mutation in 1997 value significantly decreased after this year. (2) During...

Utilizing UAV remote sensing technology to acquire information on forest pests is a crucial technical method for determining the health of trees. Achieving efficient and precise pest identification has been major research focus in this field. In study, Dendrolimus superans (Butler) was used as object multispectral, LiDAR, ground-measured data extracting sensitive features using ANOVA constructing severity-recognizing model with help random (RF) support vector machine (SVM) models. Sixteen...

Vegetation spring phenology in mountains has undergone profound changes due to climate change. In this paper, which made use of the Harmonic Analysis Time Series (HANTS) smoothing algorithm and logistic models, start vegetation growing season (SOS) inferred from MODIS datasets with different spatial resolutions 2001 2018 was extracted. The data closest ground-truth observation were then selected reflect phenology. Combined temperature precipitation data, spatio-temporal patterns...

Tokyo is on one hand becoming increasingly vulnerable to flood disasters due flooding of greater severity and frequency. Tokyo's vulnerability has increased because the changes in population structure, outdated infrastructures, an insufficient energy supply, deterioration control facilities, high-value economic assets, weakening awareness. Therefore, study key factors related disaster resilience important enhance city. This aims conduct a systematic analysis regarding ecology, economics,...

Jas's Larch Inchworm (Erannis jacobsoni Djak) is a Lepidopteran insect pest that seriously threatens larch forest ecosystems in Mongolia. Damage caused by E. changes the chlorophyll content of trees, leading to significant color canopy. Chlorophyll content, an important parameter reflects physiological state plants, expressed as relative (RCC) evaluated using meter. In this study, we estimate trees damaged optimizing spectral index. Four areas affected outbreaks Ikhtamir, Battsengel, and...

Abstract Exploring the effect of climate change and human activities on vegetation is a key requisite for reconstruction regional ecological environments. Therefore, based long‐term GIMMS Normalized Difference Vegetation Index (NDVI) data, statistical present study applied Hasse diagram technique combined multivariate regression residual analysis to quantitatively analyze impact in Inner Mongolia from detailed with some innovations. The results show that (1) NDVI shows an overall increasing...

Erannis jacobsoni Djak. (EJD), a typical pest of coniferous forests in Mongolia, has severely threatened forest areas recent years owing to its rapid development and spread. EJD feeds on needles leaves, killing many trees causing severe damage ecosystems,which results substantial local economic losses. The effective monitoring pests is crucial for preventing or controlling infestations timely manner. To this end, study, we calculated spectral vegetation indices using UAV multispectral data,...

In this study, we used bands 7, 4, and 3 of the Advance Himawari Imager (AHI) data, combined with a Threshold Algorithm visual interpretation method to monitor entire process grassland fires that occurred on China-Mongolia border regions, between 05:40 (UTC) April 19th 13:50 21st 2016. The results AHI data monitoring are evaluated by fire point product wind field environmental information area in which took place. result shows that, burned for two days eight hours total about 2708.29 km². It...

The frequency of extreme climate events has increased resulting in major changes to vegetation arid and semi-arid areas. We selected 12 indices used trend analysis multiple linear regression models analyze trends steppe areas Inner Mongolia their impact on the normalized difference index (NDVI). From 1998 2017, NDVI overall; however, there was a small area decrease. Extreme related warming exhibited increasing trends, particularly desert steppe. Although precipitation did not change...

Erannis jacobsoni Djak (Lepidoptera, Geometridae) is a leaf-feeding pest unique to Mongolia. Outbreaks of this can cause larch needles shed slowly from the top until they die, leading serious imbalance in forest ecosystem. In work, address need for low-cost, fast, and effective identification pest, we used field survey indicators UAV images forests Binder, Khentii, Mongolia, typical site outbreaks, as base data, calculated relevant multispectral red–green–blue (RGB) features, successive...

In recent years, Jas’s Larch Inchworm (Erannis jacobsoni Djak, EJD) outbreaks have frequently occurred in forested areas of Mongolia, causing significant damage to forest ecosystems, and rapid effective monitoring methods are urgently needed. This study focuses on a typical region EJD infestation the larch forests located Binder, Khentii, Mongolia. Initial super-resolution enhancement was performed Sentinel-2 images, followed by calculation vegetation indices first-order spectral...

Introduction Erannis jacobsoni Djak.(EJD) is one of the major pests that severely threatens forest health. Its damage predominantly affects pine species, resulting in significant changes to biochemical composition needle leaves. Needle leaf water content exhibits a clear response these and highly sensitive reflecting degree tree damage. Methods In this work, we combine vegetation indices with machine learning algorithms estimate needles at large scale. Multiple are screened via recursive...